14.1.7.2 Zero-Shot Learning

Fu, Y.W.[Yan-Wei], Hospedales, T.M., Xiang, T.[Tao], Gong, S.G.[Shao-Gang],
Transductive Multi-View Zero-Shot Learning,
PAMI(37), No. 11, November 2015, pp. 2332-2345.
IEEE DOI 1511
graph theory
See also Zero-Shot Learning on Semantic Class Prototype Graph. BibRef

Kodirov, E.[Elyor], Xiang, T.[Tao], Gong, S.G.[Shao-Gang],
Semantic Autoencoder for Zero-Shot Learning,
CVPR17(4447-4456)
IEEE DOI 1711
Computational modeling, Decoding, Image reconstruction, Semantics, Training, Visualization BibRef

Kodirov, E.[Elyor], Xiang, T.[Tao], Fu, Z.Y.[Zhen-Yong], Gong, S.G.[Shao-Gang],
Unsupervised Domain Adaptation for Zero-Shot Learning,
ICCV15(2452-2460)
IEEE DOI 1602
Adaptation models
See also Dictionary Learning with Iterative Laplacian Regularisation for Unsupervised Person Re-identification.
See also Learning Multimodal Latent Attributes. BibRef

Fu, Y.W.[Yan-Wei], Yang, Y.X.[Yong-Xin], Hospedales, T.M.[Tim M.], Xiang, T.[Tao], Gong, S.G.[Shao-Gang],
Transductive Multi-label Zero-shot Learning,
BMVC14(xx-yy).
HTML Version. 1410

See also Learning Multimodal Latent Attributes. BibRef

Xu, X.[Xun], Hospedales, T.M.[Timothy M.], Gong, S.G.[Shao-Gang],
Multi-Task Zero-Shot Action Recognition with Prioritised Data Augmentation,
ECCV16(II: 343-359).
Springer DOI 1611
BibRef

Fu, Y.W.[Yan-Wei], Hospedales, T.M.[Timothy M.], Xiang, T.[Tao], Fu, Z.Y.[Zhen-Yong], Gong, S.G.[Shao-Gang],
Transductive Multi-view Embedding for Zero-Shot Recognition and Annotation,
ECCV14(II: 584-599).
Springer DOI 1408
BibRef

Hoo, W.L.[Wai Lam], Chan, C.S.[Chee Seng],
Zero-Shot Object Recognition System Based on Topic Model,
HMS(45), No. 4, August 2015, pp. 518-525.
IEEE DOI 1506
BibRef
Earlier:
pLSA-based zero-shot learning,
ICIP13(4297-4301)
IEEE DOI 1402
Accuracy. Zero-shot learning; object detection; object recognition; pLSA BibRef

Cheng, Y.[Yuhu], Qiao, X.[Xue], Wang, X.[Xuesong],
An Improved Indirect Attribute Weighted Prediction Model for Zero-Shot Image Classification,
IEICE(E99-D), No. 2, February 2016, pp. 435-442.
WWW Link. 1604
BibRef

Wang, X., Chen, C., Cheng, Y.,
Zero-shot learning by exploiting class-related and attribute-related prior knowledge,
IET-CV(10), No. 6, 2016, pp. 483-492.
DOI Link 1609
data mining BibRef

Qin, J., Wang, Y., Liu, L., Chen, J., Shao, L.,
Beyond Semantic Attributes: Discrete Latent Attributes Learning for Zero-Shot Recognition,
SPLetters(23), No. 11, November 2016, pp. 1667-1671.
IEEE DOI 1609
image recognition BibRef

Qin, J., Liu, L., Shao, L., Shen, F., Ni, B., Chen, J., Wang, Y.,
Zero-Shot Action Recognition with Error-Correcting Output Codes,
CVPR17(1042-1051)
IEEE DOI 1711
Correlation, Data structures, Optimization, Pattern recognition, Robustness, Semantics, Visualization BibRef

Li, A.[Aoxue], Lu, Z.W.[Zhi-Wu], Wang, L.W.[Li-Wei], Xiang, T.[Tao], Wen, J.R.[Ji-Rong],
Zero-Shot Scene Classification for High Spatial Resolution Remote Sensing Images,
GeoRS(55), No. 7, July 2017, pp. 4157-4167.
IEEE DOI 1706
Birds, Image recognition, Remote sensing, Satellites, Semantics, Spatial resolution, Visualization, High spatial resolution (HSR) remote sensing images, scene classification, zero-shot, learning BibRef

Li, A.[Aoxue], Lu, Z.W.[Zhi-Wu], Guan, J.C.[Jie-Chao], Xiang, T.[Tao], Wang, L.W.[Li-Wei], Wen, J.R.[Ji-Rong],
Transferrable Feature and Projection Learning with Class Hierarchy for Zero-Shot Learning,
IJCV(128), No. 12, December 2020, pp. 2810-2827.
Springer DOI 2010
BibRef

Guan, J.C.[Jie-Chao], Lu, Z.W.[Zhi-Wu], Xiang, T.[Tao], Li, A.[Aoxue], Zhao, A.[An], Wen, J.R.[Ji-Rong],
Zero and Few Shot Learning With Semantic Feature Synthesis and Competitive Learning,
PAMI(43), No. 7, July 2021, pp. 2510-2523.
IEEE DOI 2106
Semantics, Prototypes, Training, Power line communications, Data models, Generators, Object recognition, Zero-shot learning, few-shot learning BibRef

Wang, Q.[Qian], Chen, K.[Ke],
Zero-Shot Visual Recognition via Bidirectional Latent Embedding,
IJCV(124), No. 3, September 2017, pp. 356-383.
Springer DOI 1708
BibRef

Elhoseiny, M.[Mohamed], Elgammal, A.M.[Ahmed M.], Saleh, B.[Babak],
Write a Classifier: Predicting Visual Classifiers from Unstructured Text,
PAMI(39), No. 12, December 2017, pp. 2539-2553.
IEEE DOI 1711
BibRef
Earlier: A1, A3, A2:
Write a Classifier: Zero-Shot Learning Using Purely Textual Descriptions,
ICCV13(2584-2591)
IEEE DOI 1403
Knowledge transfer, Noise measurement, Training, Visualization. Zero shot learning Use purely textual description of categories with no training images to learn visual classifiers. BibRef

Luo, C., Li, Z., Huang, K., Feng, J., Wang, M.,
Zero-Shot Learning via Attribute Regression and Class Prototype Rectification,
IP(27), No. 2, February 2018, pp. 637-648.
IEEE DOI 1712
Linear programming, Manifolds, Prototypes, Semantics, Supervised learning, Testing, Training, Zero-shot learning, transfer knowledge BibRef

Sumbul, G., Cinbis, R.G., Aksoy, S.,
Fine-Grained Object Recognition and Zero-Shot Learning in Remote Sensing Imagery,
GeoRS(56), No. 2, February 2018, pp. 770-779.
IEEE DOI 1802
Data models, Feature extraction, Object recognition, Remote sensing, Spatial resolution, Training, zero-shot learning (ZSL) BibRef

Sumbul, G., Cinbis, R.G., Aksoy, S.,
Multisource Region Attention Network for Fine-Grained Object Recognition in Remote Sensing Imagery,
GeoRS(57), No. 7, July 2019, pp. 4929-4937.
IEEE DOI 1907
Object recognition, Vegetation, Laser radar, Remote sensing, Spatial resolution, Sensors, Feature extraction, Deep learning, object recognition BibRef

Long, T.[Teng], Xu, X.[Xing], Shen, F.M.[Fu-Min], Liu, L.[Li], Xie, N.[Ning], Yang, Y.[Yang],
Zero-shot learning via discriminative representation extraction,
PRL(109), 2018, pp. 27-34.
Elsevier DOI 1806
Zero shot learning, Large margin, Aggregation, Representation learning BibRef

Qiao, L.F.[Ling-Feng], Tuo, H.Y.[Hong-Ya], Wang, J.X.[Jie-Xin], Wang, C.[Chao], Jing, Z.L.[Zhong-Liang],
Joint attribute chain prediction for zero-shot learning,
IET-CV(12), No. 6, September 2018, pp. 873-881.
DOI Link 1808
BibRef

Qiao, L.F.[Ling-Feng], Tuo, H.Y.[Hong-Ya], Fang, Z., Feng, P., Jing, Z.L.[Zhong-Liang],
Joint probability estimation of attribute chain for zero-shot learning,
ICIP16(1863-1867)
IEEE DOI 1610
Classification algorithms BibRef

Long, Y., Liu, L., Shen, F., Shao, L., Li, X.,
Zero-Shot Learning Using Synthesised Unseen Visual Data with Diffusion Regularisation,
PAMI(40), No. 10, October 2018, pp. 2498-2512.
IEEE DOI 1809
Semantics, Visualization, Training, Data models, Predictive models, Training data, Zero-shot learning, data synthesis, object recognition BibRef

Long, Y., Liu, L., Shao, L., Shen, F., Ding, G., Han, J.,
From Zero-Shot Learning to Conventional Supervised Classification: Unseen Visual Data Synthesis,
CVPR17(6165-6174)
IEEE DOI 1711
Feature extraction, Predictive models, Semantics, Training, Visualization BibRef

Gui, R.[Rong], Xu, X.[Xin], Wang, L.[Lei], Yang, R.[Rui], Pu, F.L.[Fang-Ling],
A Generalized Zero-Shot Learning Framework for PolSAR Land Cover Classification,
RS(10), No. 8, 2018, pp. xx-yy.
DOI Link 1809
BibRef

Shen, Y.Y.[Ya-Ying], Li, Q.[Qun], Xu, D.[Ding], Zhang, Z.Y.[Zi-Yi], Yang, R.[Rui],
Triple Loss Based Framework for Generalized Zero-Shot Learning,
IEICE(E105-D), No. 4, April 2022, pp. 832-835.
WWW Link. 2204
BibRef

Meng, M., Zhan, X.,
Zero-Shot Learning via Low-Rank-Representation Based Manifold Regularization,
SPLetters(25), No. 9, September 2018, pp. 1379-1383.
IEEE DOI 1809
image recognition, image representation, Laplace equations, learning (artificial intelligence), sparse matrices, zero-shot learning (ZSL) BibRef

Meng, M., Yu, J.,
Zero-Shot Learning via Robust Latent Representation and Manifold Regularization,
IP(28), No. 4, April 2019, pp. 1824-1836.
IEEE DOI 1901
geometry, image classification, image representation, learning (artificial intelligence), vectors, ZSL methods, manifold regularization BibRef

Wang, W.[Wen], Wang, R.P.[Rui-Ping], Shan, S.G.[Shi-Guang], Chen, X.L.[Xi-Lin],
Prototype Discriminative Learning for Image Set Classification,
SPLetters(24), No. 9, September 2017, pp. 1318-1322.
IEEE DOI 1708
BibRef
Earlier:
Prototype Discriminative Learning for Face Image Set Classification,
ACCV16(III: 344-360).
Springer DOI 1704
Databases, Optimization, Prototypes, Robustness, Signal processing algorithms, Testing, Training, Discriminative learning, image set classification, prototype, learning BibRef

Jiang, H.J.[Hua-Jie], Wang, R.P.[Rui-Ping], Shan, S.G.[Shi-Guang], Chen, X.L.[Xi-Lin],
Learning Class Prototypes via Structure Alignment for Zero-Shot Recognition,
ECCV18(X: 121-138).
Springer DOI 1810
BibRef

Liu, H.M.[Hao-Miao], Wang, R.P.[Rui-Ping], Shan, S.G.[Shi-Guang], Chen, X.L.[Xi-Lin],
Learning Multifunctional Binary Codes for Personalized Image Retrieval,
IJCV(128), No. 8-9, September 2020, pp. 2223-2242.
Springer DOI 2008
BibRef
Earlier:
Learning Multifunctional Binary Codes for Both Category and Attribute Oriented Retrieval Tasks,
CVPR17(6259-6268)
IEEE DOI 1711
Binary codes, Data models, Image retrieval, Semantics, Training, Visualization
See also Two Birds, One Stone: Jointly Learning Binary Code for Large-Scale Face Image Retrieval and Attributes Prediction. BibRef

Han, H.[Hu], Jain, A.K.[Anil K.], Wang, F.[Fang], Shan, S.G.[Shi-Guang], Chen, X.L.[Xi-Lin],
Heterogeneous Face Attribute Estimation: A Deep Multi-Task Learning Approach,
PAMI(40), No. 11, November 2018, pp. 2597-2609.
IEEE DOI 1810
Face, Estimation, Correlation, Databases, Support vector machines, Hair, Predictive models, Face recognition, multi-task learning BibRef

Wang, F.[Fang], Han, H.[Hu], Shan, S.G.[Shi-Guang], Chen, X.L.[Xi-Lin],
Deep Multi-Task Learning for Joint Prediction of Heterogeneous Face Attributes,
FG17(173-179)
IEEE DOI 1707
Correlation, Databases, Face, Feature extraction, Hair, Image color analysis, Predictive, models BibRef

Mao, Y.R.[Yi-Rong], Wang, R.P.[Rui-Ping], Shan, S.G.[Shi-Guang], Chen, X.L.[Xi-Lin],
COSONet: Compact Second-Order Network for Video Face Recognition,
ACCV18(III:51-67).
Springer DOI 1906
BibRef

Wang, W.[Wen], Wang, R.P.[Rui-Ping], Shan, S.G.[Shi-Guang], Chen, X.L.[Xi-Lin],
Discriminative Covariance Oriented Representation Learning for Face Recognition with Image Sets,
CVPR17(5749-5758)
IEEE DOI 1711
Covariance matrices, Face, Face recognition, Feature extraction, Manifolds, Measurement, Nickel BibRef

Wang, R.P.[Rui-Ping], Guo, H.M.[Hui-Min], Davis, L.S.[Larry S.], Dai, Q.H.[Qiong-Hai],
Covariance discriminative learning: A natural and efficient approach to image set classification,
CVPR12(2496-2503).
IEEE DOI 1208
BibRef

Zhang, Y.M.[Yang-Muzi], Jiang, Z.L.[Zhuo-Lin], Davis, L.S.[Larry S.],
Discriminative Tensor Sparse Coding for Image Classification,
BMVC13(xx-yy).
DOI Link 1402
BibRef
And:
Learning Structured Low-Rank Representations for Image Classification,
CVPR13(676-683)
IEEE DOI 1309
dictionary learning; image classification; low-rank representation BibRef

Zhang, G.X.[Guang-Xiao], Jiang, Z.L.[Zhuo-Lin], Davis, L.S.[Larry S.],
Online Semi-Supervised Discriminative Dictionary Learning for Sparse Representation,
ACCV12(I:259-273).
Springer DOI 1304
BibRef

Zheng, J.J.[Jing-Jing], Jiang, Z.L.[Zhuo-Lin],
Tag Taxonomy Aware Dictionary Learning for Region Tagging,
CVPR13(369-376)
IEEE DOI 1309
BibRef

Jiang, H.J.[Hua-Jie], Wang, R.P.[Rui-Ping], Shan, S.G.[Shi-Guang], Yang, Y.[Yi], Chen, X.L.[Xi-Lin],
Learning Discriminative Latent Attributes for Zero-Shot Classification,
ICCV17(4233-4242)
IEEE DOI 1802
image classification, image representation, learning (artificial intelligence), object recognition, ZSL task, Visualization BibRef

Zhang, H.F.[Hao-Feng], Long, Y.[Yang], Guan, Y.[Yu], Shao, L.[Ling],
Triple Verification Network for Generalized Zero-Shot Learning,
IP(28), No. 1, January 2019, pp. 506-517.
IEEE DOI 1810
Visualization, Training, Task analysis, Semantics, Benchmark testing, Degradation, Image recognition, Generalized zero shot learning, dual regression BibRef

Zhang, H.F.[Hao-Feng], Liu, L.[Li], Long, Y.[Yang], Zhang, Z.[Zheng], Shao, L.[Ling],
Deep transductive network for generalized zero shot learning,
PR(105), 2020, pp. 107370.
Elsevier DOI 2006
Generalized zero shot learning (GZSL), Transductive ZSL, KL Divergence, Deep transductive network (DTN) BibRef

Niu, L., Cai, J., Veeraraghavan, A., Zhang, L.,
Zero-Shot Learning via Category-Specific Visual-Semantic Mapping and Label Refinement,
IP(28), No. 2, February 2019, pp. 965-979.
IEEE DOI 1811
Semantics, Visualization, Training, Task analysis, Adaptation models, Feature extraction, Terminology, Zero-shot learning (ZSL), domain adaptation BibRef

Li, X.[Xiao], Fang, M.[Min], Feng, D.Z.[Da-Zheng], Li, H.[Haikun], Wu, J.Q.[Jin-Qiao],
Zero shot learning by partial transfer from source domain with L2,1 norm constraint,
JVCIR(58), 2019, pp. 701-711.
Elsevier DOI 1901
Zero shot learning, Partial transfer, Visual similarity, Semantic similarity, norm BibRef

Shao, H.[Hang], Guo, Y.C.[Yu-Chen], Ding, G.G.[Gui-Guang], Han, J.G.[Jun-Gong],
Zero-shot multi-label learning via label factorisation,
IET-CV(13), No. 2, March 2019, pp. 117-124.
DOI Link 1902
BibRef

Li, X.[Xiao], Fang, M.[Min], Feng, D.Z.[Da-Zheng], Li, H.K.[Hai-Kun], Wu, J.Q.[Jin-Qiao],
Prototype adjustment for zero shot classification,
SP:IC(74), 2019, pp. 242-252.
Elsevier DOI 1904
Zero shot classification, Prototype adjustment, Separation, Mapping function BibRef

Yu, Y., Ji, Z., Guo, J., Zhang, Z.,
Zero-Shot Learning via Latent Space Encoding,
Cyber(49), No. 10, October 2019, pp. 3755-3766.
IEEE DOI 1907
Visualization, Prototypes, Semantics, Encoding, Task analysis, Testing, Computational modeling, Encoder-decoder framework, zero-shot learning (ZSL) BibRef

Xian, Y.Q.[Yong-Qin], Lampert, C.H., Schiele, B.[Bernt], Akata, Z.[Zeynep],
Zero-Shot Learning: A Comprehensive Evaluation of the Good, the Bad and the Ugly,
PAMI(41), No. 9, Sep. 2019, pp. 2251-2265.
IEEE DOI 1908
BibRef
Earlier: A1, A3, A4, Only:
Zero-Shot Learning: The Good, the Bad and the Ugly,
CVPR17(3077-3086)
IEEE DOI 1711
Semantics, Visualization, Task analysis, Training, Fish, Protocols, Learning systems, Generalized zero-shot learning, weakly-supervised learning. Benchmark testing, Feature extraction,
See also Animals with Attributes 2 Dataset. BibRef

Jiang, H., Wang, R., Shan, S., Chen, X.,
Adaptive Metric Learning For Zero-Shot Recognition,
SPLetters(26), No. 9, September 2019, pp. 1270-1274.
IEEE DOI 1909
learning (artificial intelligence), object recognition, zero-shot recognition, zero-shot learning, semantic information, adaptive metric learning BibRef

Dutta, T., Biswas, S.,
Generalized Zero-Shot Cross-Modal Retrieval,
IP(28), No. 12, December 2019, pp. 5953-5962.
IEEE DOI 1909
Training, Protocols, Measurement, Standards, Semantics, Correlation, Training data, Cross-modal retrieval, zero-shot learning, evaluation metric BibRef

Ding, M.Y.[Ming-Yu], Wang, Z.[Zhe], Lu, Z.W.[Zhi-Wu],
Cross-Domain Mapping Learning for Transductive Zero-Shot Learning,
CVIU(187), 2019, pp. 102784.
Elsevier DOI 1909
Zero-shot learning, Semantic autoencoder, Domain adaption, Transductive learning BibRef

Jia, Z., Zhang, Z., Wang, L., Shan, C., Tan, T.,
Deep Unbiased Embedding Transfer for Zero-Shot Learning,
IP(29), No. 1, 2020, pp. 1958-1971.
IEEE DOI 1912
Visualization, Feature extraction, Semantics, Training, Seals, Prototypes, Indexes, Zero-shot learning, image classification, generative adversarial network BibRef

del Chiaro, R.[Riccardo], Bagdanov, A.D.[Andrew D.], del Bimbo, A.[Alberto],
Webly-supervised zero-shot learning for artwork instance recognition,
PRL(128), 2019, pp. 420-426.
Elsevier DOI 1912
BibRef

Changpinyo, S.[Soravit], Chao, W.L.[Wei-Lun], Gong, B.Q.[Bo-Qing], Sha, F.[Fei],
Classifier and Exemplar Synthesis for Zero-Shot Learning,
IJCV(128), No. 1, January 2020, pp. 166-201.
Springer DOI 2002
BibRef
Earlier: A1, A2, A4, Only:
Predicting Visual Exemplars of Unseen Classes for Zero-Shot Learning,
ICCV17(3496-3505)
IEEE DOI 1802
learning (artificial intelligence), object detection, object recognition, class semantic descriptions, Visualization BibRef

Chao, W.L.[Wei-Lun], Changpinyo, S.[Soravit], Gong, B.Q.[Bo-Qing], Sha, F.[Fei],
An Empirical Study and Analysis of Generalized Zero-Shot Learning for Object Recognition in the Wild,
ECCV16(II: 52-68).
Springer DOI 1611
BibRef
Earlier: A2, A1, A3, A4:
Synthesized Classifiers for Zero-Shot Learning,
CVPR16(5327-5336)
IEEE DOI 1612
BibRef

Huang, S., Lin, J., Huangfu, L.,
Class-Prototype Discriminative Network for Generalized Zero-Shot Learning,
SPLetters(27), 2020, pp. 301-305.
IEEE DOI 2003
Zero-shot learning, deep learning, cross-modal metric learning, relation network BibRef

Liu, Y., Tuytelaars, T.[Tinne],
A Deep Multi-Modal Explanation Model for Zero-Shot Learning,
IP(29), 2020, pp. 4788-4803.
IEEE DOI 2003
Visualization, Semantics, Task analysis, Training, Image color analysis, Head, Extraterrestrial phenomena, LSTM BibRef

Zhu, P., Wang, H., Saligrama, V.,
Zero Shot Detection,
CirSysVideo(30), No. 4, April 2020, pp. 998-1010.
IEEE DOI 2004
Semantics, Visualization, Proposals, Training, Detectors, Object detection, Training data, Zero-shot learning, convolutional neural network BibRef

Li, J., Lan, X., Long, Y., Liu, Y., Chen, X., Shao, L., Zheng, N.,
A Joint Label Space for Generalized Zero-Shot Classification,
IP(29), 2020, pp. 5817-5831.
IEEE DOI 2005
Visualization, Semantics, Prototypes, Correlation, Training, Testing, Cats, Projection learning, generalized zero-shot learning, label space BibRef

Liu, Z.Z.[Zhi-Zhe], Zhang, X.X.[Xing-Xing], Zhu, Z.F.[Zhen-Feng], Zheng, S.[Shuai], Zhao, Y.[Yao], Cheng, J.[Jian],
Convolutional prototype learning for zero-shot recognition,
IVC(98), 2020, pp. 103924.
Elsevier DOI 2006
Zero-shot recognition, Prototype learning, Image recognition, Deep learning BibRef

Zhang, X.X.[Xing-Xing], Gui, S.P.[Shu-Peng], Zhu, Z.F.[Zhen-Feng], Zhao, Y.[Yao], Liu, J.[Ji],
Hierarchical Prototype Learning for Zero-Shot Recognition,
MultMed(22), No. 7, July 2020, pp. 1692-1703.
IEEE DOI 2007
Prototypes, Visualization, Semantics, Training, Data models, Adaptation models, Object recognition, Zero-shot learning, unseen class BibRef

Pradhan, B.[Biswajeet], Al-Najjar, H.A.H.[Husam A. H.], Sameen, M.I.[Maher Ibrahim], Tsang, I.[Ivor], Alamri, A.M.[Abdullah M.],
Unseen Land Cover Classification from High-Resolution Orthophotos Using Integration of Zero-Shot Learning and Convolutional Neural Networks,
RS(12), No. 10, 2020, pp. xx-yy.
DOI Link 2006
BibRef

Zhang, H.F.[Hao-Feng], Liu, J.R.[Jing-Ren], Yao, Y.Z.[Ya-Zhou], Long, Y.[Yang],
Pseudo distribution on unseen classes for generalized zero shot learning,
PRL(135), 2020, pp. 451-458.
Elsevier DOI 2006
Generalized zero shot learning, Pseudo distribution, Attribute similarity BibRef

Long, Y.[Yang], Shao, L.[Ling],
Describing Unseen Classes by Exemplars: Zero-Shot Learning Using Grouped Simile Ensemble,
WACV17(907-915)
IEEE DOI 1609
Benchmark testing, Feature extraction, Image color analysis, Semantics, Shape, Training, Visualization BibRef

Li, X.[Xiao], Fang, M.[Min], Li, H.[Haikun], Wu, J.Q.[Jin-Qiao],
Zero shot learning based on class visual prototypes and semantic consistency,
PRL(135), 2020, pp. 368-374.
Elsevier DOI 2006
Zero shot learning, Semantic consistency, Class visual prototypes, Shared sparse graph BibRef

Li, X.[Xiao], Fang, M.[Min], Li, H.[Haikun], Wu, J.Q.[Jin-Qiao],
Learning discriminative and meaningful samples for generalized zero shot classification,
SP:IC(87), 2020, pp. 115920.
Elsevier DOI 2007
Generalized zero shot classification, Generative adversarial network, Class consistency, Semantic consistency BibRef

Li, X.[Xiao], Fang, M.[Min], Chen, B.[Bo],
Generalized zero-shot classification via iteratively generating and selecting unseen samples,
SP:IC(92), 2021, pp. 116115.
Elsevier DOI 2101
Generalized zero shot classification, Generative adversarial network, Unseen visual prototypes BibRef

Zhai, Z.B.[Zhi-Bo], Li, X.[Xiao], Chang, Z.H.[Zhong-Hao],
Center-VAE with discriminative and semantic-relevant fine-tuning features for generalized zero-shot learning,
SP:IC(111), 2023, pp. 116897.
Elsevier DOI 2301
Generalized zero-shot learning, VAE, Center loss, Semantic-relevant, Fine-tuning BibRef

Zhang, L.[Lei], Wang, P.[Peng], Liu, L.Q.[Ling-Qiao], Shen, C.H.[Chun-Hua], Wei, W.[Wei], Zhang, Y.N.[Yan-Ning], van den Hengel, A.[Anton],
Towards Effective Deep Embedding for Zero-Shot Learning,
CirSysVideo(30), No. 9, September 2020, pp. 2843-2852.
IEEE DOI 2009
Visualization, Semantics, Training, Testing, Labeling, Computer science, Zero-shot learning, Deep embedding, Deep neural network BibRef

Liu, J.[Jie], Song, K.[Kechen], He, Y.[Yu], Dong, H.[Hongwen], Yan, Y.[Yunhui], Meng, Q.G.[Qing-Gang],
Learning object-centric complementary features for zero-shot learning,
SP:IC(89), 2020, pp. 115974.
Elsevier DOI 2010
Zero-shot learning, Object-centric complementary features, Attention mechanism, Image recognition, Salient object detector BibRef

Gao, J.Y.[Jun-Yu], Xu, C.S.[Chang-Sheng],
CI-GNN: Building a Category-Instance Graph for Zero-Shot Video Classification,
MultMed(22), No. 12, December 2020, pp. 3088-3100.
IEEE DOI 2011
Semantics, Task analysis, Visualization, Training, Message passing, Pattern recognition, Neural networks, zero-shot learning BibRef

Kan, S., Cen, Y., Cen, Y., Vladimir, M., Li, Y., He, Z.,
Zero-Shot Learning to Index on Semantic Trees for Scalable Image Retrieval,
IP(30), 2021, pp. 501-516.
IEEE DOI 2012
Zero-shot, learning to index, semantic tree, scalable image retrieval, approximated nearest neighbor search BibRef

Li, X.[Xiao], Fang, M.[Min], Liu, J.C.[Ji-Chuan],
Low-rank embedded orthogonal subspace learning for zero-shot classification,
JVCIR(74), 2021, pp. 102981.
Elsevier DOI 2101
Zero shot classification, Low-rank, Class similarity, Manifold structure BibRef

Xie, Y.[Yurui], Song, T.C.[Tie-Cheng], Li, W.[Wei],
Semantic-aware visual attributes learning for zero-shot recognition,
JVCIR(74), 2021, pp. 103010.
Elsevier DOI 2101
Zero-shot learning, Human-designed attributes, Visual attributes, Semantic representation BibRef

Zhang, H.F.[Hao-Feng], Bai, H.Y.[Hao-Yue], Long, Y.[Yang], Liu, L.[Li], Shao, L.[Ling],
A plug-in attribute correction module for generalized zero-shot learning,
PR(112), 2021, pp. 107767.
Elsevier DOI 2102
Generalized zero shot learning (GZSL), Attribute correction, Orthogonal constraint, pluggable module BibRef

Xu, B., Zeng, Z., Lian, C., Ding, Z.,
Semi-Supervised Low-Rank Semantics Grouping for Zero-Shot Learning,
IP(30), 2021, pp. 2207-2219.
IEEE DOI 2102
feature extraction, graph theory, image coding, image recognition, object detection, pattern classification, supervised learning, label propagation BibRef

Guo, J., Guo, S.,
A Novel Perspective to Zero-Shot Learning: Towards an Alignment of Manifold Structures via Semantic Feature Expansion,
MultMed(23), 2021, pp. 524-537.
IEEE DOI 2102
feature extraction, image classification, learning (artificial intelligence), neural nets, alignment BibRef

Xie, G.S., Zhang, X.Y., Yao, Y., Zhang, Z., Zhao, F., Shao, L.,
VMAN: A Virtual Mainstay Alignment Network for Transductive Zero-Shot Learning,
IP(30), 2021, pp. 4316-4329.
IEEE DOI 2104
Semantics, Training, Task analysis, Image reconstruction, Whales, Manifolds, Generative adversarial networks, Zero-shot learning, transductive BibRef

Xie, C.[Cheng], Zeng, T.[Ting], Xiang, H.X.[Hong-Xin], Li, K.Q.[Ke-Qin], Yang, Y.[Yun], Liu, Q.[Qing],
Class knowledge overlay to visual feature learning for zero-shot image classification,
CVIU(207), 2021, pp. 103206.
Elsevier DOI 2105
Image understanding, Zero-shot learning, Image classification, Knowledge representation, Generative adversarial network, Semi-supervised learning BibRef

Wan, Z.[Ziyu], Chen, D.D.[Dong-Dong], Liao, J.[Jing],
Visual Structure Constraint for Transductive Zero-Shot Learning in the Wild,
IJCV(129), No. 6, June 2021, pp. 1893-1909.
Springer DOI 2106
BibRef

Yang, S.Q.[Shi-Qi], Wang, K.[Kai], Herranz, L.[Luis], van de Weijer, J.[Joost],
On Implicit Attribute Localization for Generalized Zero-Shot Learning,
SPLetters(28), 2021, pp. 872-876.
IEEE DOI 2106
Feature extraction, Visualization, Semantics, Location awareness, Training, Pipelines, Sun, Zero-shot learning, attribute localization BibRef

Liu, B.[Bo], Hu, L.H.[Li-Hua], Dong, Q.[Qiulei], Hu, Z.Y.[Zhan-Yi],
An Iterative Co-Training Transductive Framework for Zero Shot Learning,
IP(30), 2021, pp. 6943-6956.
IEEE DOI 2108
Visualization, Semantics, Training, Feature extraction, Testing, Detectors, Predictive models, Zero-shot learning, transductive learning co-training BibRef

Bo, L.[Liu], Dong, Q.[Qiulei], Hu, Z.Y.[Zhan-Yi],
Hardness Sampling for Self-Training Based Transductive Zero-Shot Learning,
CVPR21(16494-16503)
IEEE DOI 2111
Training, Estimation, Predictive models, Benchmark testing, Prediction algorithms, Approximation algorithms BibRef

Li, Y.S.[Yan-Sheng], Kong, D.Y.[De-Yu], Zhang, Y.J.[Yong-Jun], Tan, Y.H.[Yi-Hua], Chen, L.[Ling],
Robust deep alignment network with remote sensing knowledge graph for zero-shot and generalized zero-shot remote sensing image scene classification,
PandRS(179), 2021, pp. 145-158.
Elsevier DOI 2108
Robust deep alignment network (DAN), Remote sensing knowledge graph (RSKG), Generalized zero-shot learning (GZSL) BibRef

Li, Y.S.[Yan-Sheng], Zhu, Z.H.[Zhi-Hui], Yu, J.G.[Jin-Gang], Zhang, Y.J.[Yong-Jun],
Learning Deep Cross-Modal Embedding Networks for Zero-Shot Remote Sensing Image Scene Classification,
GeoRS(59), No. 12, December 2021, pp. 10590-10603.
IEEE DOI 2112
Visualization, Semantics, Deep learning, Task analysis, Remote sensing, Feature extraction, Big Data, Latent space, zero-shot RS scene classification (ZSRSSC) BibRef

Gao, J.Y.[Jun-Yu], Zhang, T.Z.[Tian-Zhu], Xu, C.S.[Chang-Sheng],
Learning to Model Relationships for Zero-Shot Video Classification,
PAMI(43), No. 10, October 2021, pp. 3476-3491.
IEEE DOI 2109
Prototypes, Semantics, Robustness, Adaptation models, Visualization, Task analysis, Machine learning, Zero-shot video classification, deep attention model BibRef

Karlos, S.[Stamatis], Mylonas, N.[Nikolaos], Tsoumakas, G.[Grigorios],
Instance-Based Zero-Shot learning for semi-Automatic MeSH indexing,
PRL(151), 2021, pp. 62-68.
Elsevier DOI 2110
Zero-shot learning, Multi-label text classification, Sentence-embeddings, MeSH terms, Label's space dependencies, Weakly-supervised methods BibRef

Min, S.[Shaobo], Yao, H.T.[Han-Tao], Xie, H.T.[Hong-Tao], Zha, Z.J.[Zheng-Jun], Zhang, Y.D.[Yong-Dong],
Domain-Oriented Semantic Embedding for Zero-Shot Learning,
MultMed(23), 2021, pp. 3919-3930.
IEEE DOI 2110
Semantics, Visualization, Image recognition, Image reconstruction, Training, Search problems, Zero-shot learning, recognition BibRef

Shermin, T.[Tasfia], Teng, S.W.[Shyh Wei], Sohel, F.[Ferdous], Murshed, M.[Manzur], Lu, G.J.[Guo-Jun],
Integrated generalized zero-shot learning for fine-grained classification,
PR(122), 2022, pp. 108246.
Elsevier DOI 2112
Generalized zero-shot learning, Fine-grained classification, Dense attention mechanism BibRef

Shermin, T.[Tasfia], Teng, S.W.[Shyh Wei], Sohel, F.[Ferdous], Murshed, M.[Manzur], Lu, G.J.[Guo-Jun],
Bidirectional Mapping Coupled GAN for Generalized Zero-Shot Learning,
IP(31), 2022, pp. 721-733.
IEEE DOI 2201
Semantics, Visualization, Task analysis, Optimization, Generative adversarial networks, Training, Learning systems BibRef

Chen, X.Y.[Xing-Yu], Li, J.[Jin], Lan, X.G.[Xu-Guang], Zheng, N.N.[Nan-Ning],
Generalized Zero-Shot Learning Via Multi-Modal Aggregated Posterior Aligning Neural Network,
MultMed(24), 2022, pp. 177-187.
IEEE DOI 2202
Semantics, Visualization, Generative adversarial networks, Training, Task analysis, Gaussian distribution, multi-modal neural network BibRef

Shen, J.Y.[Jia-Yi], Xiao, Z.[Zehao], Zhen, X.T.[Xian-Tong], Zhang, L.[Lei],
Spherical Zero-Shot Learning,
CirSysVideo(32), No. 2, February 2022, pp. 634-645.
IEEE DOI 2202
Semantics, Prototypes, Visualization, Measurement, Entropy, Calibration, Training, Zero-shot learning, decoupled metric, prediction bias BibRef

HIromoto, M.[Masayuki], Akima, H.[Hisanao], Ishihara, T.[Teruo], Yamamoto, T.[Takuji],
SimpleZSL: Extremely Simple and Fast Zero-Shot Learning with Nearest Neighbor Classifiers,
IEICE(E105-D), No. 2, February 2022, pp. 396-405.
WWW Link. 2202
BibRef

Yucel, M.K.[Mehmet Kerim], Cinbis, R.G.[Ramazan Gokberk], Duygulu, P.[Pinar],
How robust are discriminatively trained zero-shot learning models?,
IVC(119), 2022, pp. 104392.
Elsevier DOI 2202
Zero-shot learning, Robust generalization, Adversarial robustness BibRef

Tian, L.[Long], Chen, B.[Bo], Ren, J.[Jie], Zhang, H.[Hao], Wu, Z.H.[Zhen-Hua], Han, N.[Ning], Chen, Y.[Yuanwei], Liu, H.W.[Hong-Wei],
Multi-scale visual attention for attribute disambiguation in zero-shot learning,
SP:IC(103), 2022, pp. 116614.
Elsevier DOI 2203
Zero-shot image recognition, Visual attention, Attribute disambiguation BibRef

Ma, P.R.[Pei-Rong], Lu, H.[Hong], Yang, B.[Bohong], Ran, W.[Wu],
GAN-MVAE: A discriminative latent feature generation framework for generalized zero-shot learning,
PRL(155), 2022, pp. 77-83.
Elsevier DOI 2203
Generalized Zero-Shot Learning (GZSL), Generative adversarial Network (GAN), Cross-modal reconstruction BibRef

Zhang, J.[Jing], Li, Q.Y.[Qing-Yong], Geng, Y.L.[Yang-Liao], Wang, W.[Wen], Sun, W.J.[Wen-Ju], Shi, C.[Chuan], Ding, Z.M.[Zheng-Ming],
A zero-shot learning framework via cluster-prototype matching,
PR(124), 2022, pp. 108469.
Elsevier DOI 2203
Zero-shot learning, Image classification, Cluster-prototype matching, Domain shift BibRef

Kim, H.[Hoseong], Lee, J.[Jewook], Byun, H.R.[Hye-Ran],
Discriminative deep attributes for generalized zero-shot learning,
PR(124), 2022, pp. 108435.
Elsevier DOI 2203
Generalized zero-shot learning, Deep attribute, Discriminative latent attribute BibRef

Ye, Y.[Yalan], He, Y.K.[Yu-Kun], Pan, T.J.[Tong-Jie], Li, J.J.[Jing-Jing], Shen, H.T.[Heng Tao],
Alleviating Domain Shift via Discriminative Learning for Generalized Zero-Shot Learning,
MultMed(24), 2022, pp. 1325-1337.
IEEE DOI 2204
Semantics, Visualization, Generative adversarial networks, Feature extraction, Task analysis, Training, seen/unseen classifier BibRef

Yao, H.T.[Han-Tao], Min, S.B.[Shao-Bo], Zhang, Y.D.[Yong-Dong], Xu, C.S.[Chang-Sheng],
Attribute-Induced Bias Eliminating for Transductive Zero-Shot Learning,
MultMed(24), No. 2022, pp. 1933-1942.
IEEE DOI 2204
Semantics, Visualization, Bridges, Training, Knowledge transfer, Image recognition, Topology, Transductive Zero-Shot Learning, Semantic-Visual Alignment BibRef

Min, S.B.[Shao-Bo], Yao, H.T.[Han-Tao], Xie, H.T.[Hong-Tao], Wang, C.Q.[Chao-Qun], Zha, Z.J.[Zheng-Jun], Zhang, Y.D.[Yong-Dong],
Domain-Aware Visual Bias Eliminating for Generalized Zero-Shot Learning,
CVPR20(12661-12670)
IEEE DOI 2008
Visualization, Semantics, Entropy, Image recognition, Robustness, Training, Knowledge transfer BibRef

Zhang, C.J.[Chun-Jie], Liang, C.[Chao], Zhao, Y.[Yao],
Exemplar-Based, Semantic Guided Zero-Shot Visual Recognition,
IP(31), 2022, pp. 3056-3065.
IEEE DOI 2205
Semantics, Visualization, Image recognition, Predictive models, Correlation, Annotations, Information science, object categorization BibRef

Hu, Y.[Yang], Wen, G.H.[Gui-Hua], Chapman, A.[Adriane], Yang, P.[Pei], Luo, M.[Mingnan], Xu, Y.X.[Ying-Xue], Dai, D.[Dan], Hall, W.[Wendy],
Graph-Based Visual-Semantic Entanglement Network for Zero-Shot Image Recognition,
MultMed(24), 2022, pp. 2473-2487.
IEEE DOI 2205
Visualization, Semantics, Pipelines, Knowledge engineering, Load modeling, Task analysis, Couplings, Zero-shot learning, attribute word embedding BibRef

Ye, Z.H.[Zi-Han], Hu, F.Y.[Fu-Yuan], Lyu, F.[Fan], Li, L.Y.[Lin-Yan], Huang, K.[Kaizhu],
Disentangling Semantic-to-Visual Confusion for Zero-Shot Learning,
MultMed(24), 2022, pp. 2828-2840.
IEEE DOI 2206
Visualization, Semantics, Training, Manganese, Extraterrestrial measurements, Generative adversarial networks, deep learning BibRef

Dong, H.Z.[Han-Ze], Fu, Y.W.[Yan-Wei], Hwang, S.J.[Sung Ju], Sigal, L.[Leonid], Xue, X.Y.[Xiang-Yang],
Learning the Compositional Domains for Generalized Zero-shot Learning,
CVIU(221), 2022, pp. 103454.
Elsevier DOI 2206
Generalized Zero-shot Learning, Open Set Learning, Domain division BibRef

Guo, T.[Ting], Liang, J.Q.[Jian-Qing], Liang, J.[Jiye], Xie, G.S.[Guo-Sen],
Cross-modal propagation network for generalized zero-shot learning,
PRL(159), 2022, pp. 125-131.
Elsevier DOI 2206
Zero-shot learning, Generative adversarial network, Meta-learning, Label propagation BibRef

Xu, Z.[Ziwei], Wang, G.Z.[Guang-Zhi], Wong, Y.K.[Yong-Kang], Kankanhalli, M.S.[Mohan S.],
Relation-Aware Compositional Zero-Shot Learning for Attribute-Object Pair Recognition,
MultMed(24), 2022, pp. 3652-3664.
IEEE DOI 2207
Visualization, Task analysis, Semantics, Training, Image recognition, Feature extraction, Computational modeling, message passing BibRef

Ji, Z.[Zhong], Yu, X.J.[Xue-Jie], Yu, Y.L.[Yun-Long], Pang, Y.W.[Yan-Wei], Zhang, Z.F.[Zhong-Fei],
Semantic-Guided Class-Imbalance Learning Model for Zero-Shot Image Classification,
Cyber(52), No. 7, July 2022, pp. 6543-6554.
IEEE DOI 2207
Visualization, Semantics, Training, Prototypes, Task analysis, Whales, Data models, Class imbalance, class visual prototype, zero-shot learning BibRef

Li, Y.[Yun], Liu, Z.[Zhe], Yao, L.[Lina], Wang, X.Z.[Xian-Zhi], McAuley, J.[Julian], Chang, X.J.[Xiao-Jun],
An Entropy-Guided Reinforced Partial Convolutional Network for Zero-Shot Learning,
CirSysVideo(32), No. 8, August 2022, pp. 5175-5186.
IEEE DOI 2208
Convolution, Feature extraction, Semantics, Visualization, Training, Optimization, Kernel, Zero-shot learning, reinforcement learning, image representation BibRef

Mahapatra, D.[Dwarikanath], Ge, Z.Y.[Zong-Yuan], Reyes, M.[Mauricio],
Self-Supervised Generalized Zero Shot Learning for Medical Image Classification Using Novel Interpretable Saliency Maps,
MedImg(41), No. 9, September 2022, pp. 2443-2456.
IEEE DOI 2209
Task analysis, Medical diagnostic imaging, Diseases, Semantics, Visualization, X-ray imaging, Image segmentation, pathology BibRef

Mahapatra, D.[Dwarikanath], Bozorgtabar, B.[Behzad], Ge, Z.Y.[Zong-Yuan],
Medical Image Classification Using Generalized Zero Shot Learning,
CVAMD21(3337-3346)
IEEE DOI 2112
Training, Image recognition, Supervised learning, Semantics, Generators BibRef

Han, Z.Y.[Zong-Yan], Fu, Z.Y.[Zhen-Yong], Chen, S.[Shuo], Yang, J.[Jian],
Semantic Contrastive Embedding for Generalized Zero-Shot Learning,
IJCV(130), No. 11, November 2022, pp. 2606-2622.
Springer DOI 2210
BibRef
Earlier:
Contrastive Embedding for Generalized Zero-Shot Learning,
CVPR21(2371-2381)
IEEE DOI 2111
Visualization, Codes, Benchmark testing, Hybrid power systems, Pattern recognition BibRef

Wei, J.[Jiwei], Sun, H.T.[Hao-Tian], Yang, Y.[Yang], Xu, X.[Xing], Li, J.J.[Jing-Jing], Shen, H.T.[Heng Tao],
Semantic guided knowledge graph for large-scale zero-shot learning,
JVCIR(88), 2022, pp. 103629.
Elsevier DOI 2210
Large-scale zero-shot learning, Semantic guided knowledge graph, Multi-granularity fusion network BibRef

Yan, C.X.[Cai-Xia], Chang, X.J.[Xiao-Jun], Li, Z.H.[Zhi-Hui], Guan, W.[Weili], Ge, Z.Y.[Zong-Yuan], Zhu, L.[Lei], Zheng, Q.H.[Qing-Hua],
ZeroNAS: Differentiable Generative Adversarial Networks Search for Zero-Shot Learning,
PAMI(44), No. 12, December 2022, pp. 9733-9740.
IEEE DOI 2212
Generative adversarial networks, Computer architecture, Training, Generators, Task analysis, Testing, Optimization, zero-shot learning BibRef

Niu, C.[Chang], Shang, J.Y.[Jun-Yuan], Huang, J.C.[Jun-Chu], Yang, J.M.[Jun-Mei], Song, Y.T.[Yu-Ting], Zhou, Z.H.[Zhi-Heng], Zhou, G.X.[Guo-Xu],
Unbiased feature generating for generalized zero-shot learning,
JVCIR(89), 2022, pp. 103657.
Elsevier DOI 2212
Generalized zero-shot learning, Generative adversarial network, Image classification BibRef

Deng, S.[Siyang], Xiang, G.[Gang], Gao, Q.X.[Quan-Xue], Xia, W.[Wei], Gao, X.B.[Xin-Bo],
Zero-Shot Learning Based on Quality-Verifying Adversarial Network,
MultMed(24), 2022, pp. 4526-4537.
IEEE DOI 2212
Feature extraction, Visualization, Generative adversarial networks, Reliability, Generators, L_12-norm constraint BibRef

Cheng, D.[De], Wang, G.[Gerong], Wang, B.[Bo], Zhang, Q.[Qiang], Han, J.G.[Jun-Gong], Zhang, D.W.[Ding-Wen],
Hybrid routing transformer for zero-shot learning,
PR(137), 2023, pp. 109270.
Elsevier DOI 2302
Zero-shot learning, Hybrid routing, Transformer, Attention BibRef

Zhao, X.J.[Xiao-Jie], Shen, Y.M.[Yu-Ming], Wang, S.D.[Shi-Dong], Zhang, H.F.[Hao-Feng],
Generating diverse augmented attributes for generalized zero shot learning,
PRL(166), 2023, pp. 126-133.
Elsevier DOI 2302
Generalized zero shot learning, Diverse augmented attribute, Feature synthesis BibRef

Pourpanah, F.[Farhad], Abdar, M.[Moloud], Luo, Y.X.[Yu-Xuan], Zhou, X.L.[Xin-Lei], Wang, R.[Ran], Lim, C.P.[Chee Peng], Wang, X.Z.[Xi-Zhao], Wu, Q.M.J.[Q. M. Jonathan],
A Review of Generalized Zero-Shot Learning Methods,
PAMI(45), No. 4, April 2023, pp. 4051-4070.
IEEE DOI 2303
Survey, Zero-Shot Learning. Semantics, Visualization, Training, Deep learning, Feature extraction, Data models, Computational modeling, variational auto-encoders BibRef

Wang, Z.Y.[Zi-Yang], Gou, Y.H.[Yun-Hao], Li, J.J.[Jing-Jing], Zhu, L.[Lei], Shen, H.T.[Heng Tao],
Language-Augmented Pixel Embedding for Generalized Zero-Shot Learning,
CirSysVideo(33), No. 3, March 2023, pp. 1019-1030.
IEEE DOI 2303
Semantics, Visualization, Task analysis, Feature extraction, Image recognition, Annotations, Knowledge transfer, attention mechanism BibRef

Yang, H.R.[Hai-Rui], Sun, B.[Baoli], Li, B.[Baopu], Yang, C.F.[Cai-Fei], Wang, Z.H.[Zhi-Hui], Chen, J.[Jenhui], Wang, L.[Lei], Li, H.J.[Hao-Jie],
Iterative Class Prototype Calibration for Transductive Zero-Shot Learning,
CirSysVideo(33), No. 3, March 2023, pp. 1236-1246.
IEEE DOI 2303
Prototypes, Semantics, Visualization, Training, Iterative methods, Calibration, Standards, Transductive zero-shot learning, prototype calibration BibRef

Xie, G.S.[Guo-Sen], Zhang, Z.[Zheng], Xiong, H.[Huan], Shao, L.[Ling], Li, X.L.[Xue-Long],
Towards Zero-Shot Learning: A Brief Review and an Attention-Based Embedding Network,
CirSysVideo(33), No. 3, March 2023, pp. 1181-1197.
IEEE DOI 2303
Semantics, Training, Feature extraction, Visualization, Streaming media, Annotations, Tail, Convolutional neural network, attributes BibRef

Patil, C.[Charulata], Abhyankar, A.[Aditya],
Decoupled contributed attribute-object composition detection,
IVC(131), 2023, pp. 104630.
Elsevier DOI 2303
Compositional zero shot learning, Composite representation learning, Attribute detection, Computer vision BibRef

Yang, F.E.[Fu-En], Lee, Y.H.[Yuan-Hao], Lin, C.C.[Chia-Ching], Wang, Y.C.A.F.[Yu-Chi-Ang Frank],
Semantics-Guided Intra-Category Knowledge Transfer for Generalized Zero-Shot Learning,
IJCV(131), No. 6, June 2023, pp. 1331-1345.
Springer DOI 2305
BibRef

Li, B.[Bonan], Hu, Y.[Yinhan], Han, C.[Congying], Guo, T.D.[Tian-De],
DFS: A Diverse Feature Synthesis Model for Generalized Zero-Shot Learning,
ICPR22(1851-1857)
IEEE DOI 2212
Visualization, Codes, Semantics, Benchmark testing, Generators, Task analysis BibRef

Panda, A.[Aditya], Santra, B.[Bikash], Mukherjee, D.P.[Dipti Prasad],
Bi-Modal Compositional Network for Feature Disentanglement,
ICIP22(3051-3055)
IEEE DOI 2211
New compositions of known objects. Visualization, Benchmark testing, Object recognition, composition, disentanglement, CZSL, state-object composition, compositional zero shot BibRef

Zhang, T.[Tian], Liang, K.[Kongming], Du, R.[Ruoyi], Sun, X.[Xian], Ma, Z.Y.[Zhan-Yu], Guo, J.[Jun],
Learning Invariant Visual Representations for Compositional Zero-Shot Learning,
ECCV22(XXIV:339-355).
Springer DOI 2211
BibRef

Wortsman, M.[Mitchell], Ilharco, G.[Gabriel], Kim, J.W.[Jong Wook], Li, M.[Mike], Kornblith, S.[Simon], Roelofs, R.[Rebecca], Lopes, R.G.[Raphael Gontijo], Hajishirzi, H.[Hannaneh], Farhadi, A.[Ali], Namkoong, H.[Hongseok], Schmidt, L.[Ludwig],
Robust fine-tuning of zero-shot models,
CVPR22(7949-7961)
IEEE DOI 2210
Computational modeling, Computer network reliability, Transfer learning, Neural networks, Robustness, Data models, Machine learning BibRef

Kong, X.[Xia], Gao, Z.[Zuodong], Li, X.F.[Xiao-Fan], Hong, M.[Ming], Liu, J.[Jun], Wang, C.J.[Cheng-Jie], Xie, Y.[Yuan], Qu, Y.[Yanyun],
En-Compactness: Self-Distillation Embedding & Contrastive Generation for Generalized Zero-Shot Learning,
CVPR22(9296-9305)
IEEE DOI 2210
Training, Visualization, Benchmark testing, Pattern recognition, Transfer/low-shot/long-tail learning, Recognition: detection, retrieval BibRef

Xu, W.J.[Wen-Jia], Xian, Y.Q.[Yong-Qin], Wang, J.[Jiuniu], Schiele, B.[Bernt], Akata, Z.[Zeynep],
VGSE: Visually-Grounded Semantic Embeddings for Zero-Shot Learning,
CVPR22(9306-9315)
IEEE DOI 2210
Visualization, Codes, Annotations, Semantics, Benchmark testing, Predictive models, Transfer/low-shot/long-tail learning BibRef

Li, X.Y.[Xiang-Yu], Yang, X.[Xu], Wei, K.[Kun], Deng, C.[Cheng], Yang, M.[Muli],
Siamese Contrastive Embedding Network for Compositional Zero-Shot Learning,
CVPR22(9316-9325)
IEEE DOI 2210
Training, Deep learning, Visualization, Prototypes, Training data, Robustness, Transfer/low-shot/long-tail learning, Deep learning architectures and techniques BibRef

Feng, Y.G.[Yao-Gong], Huang, X.W.[Xiao-Wen], Yang, P.[Pengbo], Yu, J.[Jian], Sang, J.[Jitao],
Non-generative Generalized Zero-shot Learning via Task-correlated Disentanglement and Controllable Samples Synthesis,
CVPR22(9336-9345)
IEEE DOI 2210
Training, Adaptation models, Uncertainty, Computational modeling, Benchmark testing, Data models, retrieval BibRef

Zhu, X.Z.[Xi-Zhou], Zhu, J.[Jinguo], Li, H.[Hao], Wu, X.S.[Xiao-Shi], Li, H.S.[Hong-Sheng], Wang, X.H.[Xiao-Hua], Dai, J.F.[Ji-Feng],
Uni-Perceiver: Pre-training Unified Architecture for Generic Perception for Zero-shot and Few-shot Tasks,
CVPR22(16783-16794)
IEEE DOI 2210
Representation learning, Costs, Collaboration, Transformers, Data models, BibRef

Mall, U.[Utkarsh], Hariharan, B.[Bharath], Bala, K.[Kavita],
Zero-shot Learning Using Multimodal Descriptions,
L3D-IVU22(3930-3938)
IEEE DOI 2210
Conferences, Computational modeling, Semantics, Manuals, Benchmark testing, Birds BibRef

Chen, S.M.[Shi-Ming], Hong, Z.[Ziming], Xie, G.S.[Guo-Sen], Yang, W.H.[Wen-Han], Peng, Q.[Qinmu], Wang, K.[Kai], Zhao, J.[Jian], You, X.G.[Xin-Ge],
MSDN: Mutually Semantic Distillation Network for Zero-Shot Learning,
CVPR22(7602-7611)
IEEE DOI 2210
Training, Visualization, Codes, Semantics, Benchmark testing, Pattern recognition, Recognition: detection, categorization, Transfer/low-shot/long-tail learning BibRef

Su, H.Z.[Hong-Zu], Li, J.J.[Jing-Jing], Chen, Z.[Zhi], Zhu, L.[Lei], Lu, K.[Ke],
Distinguishing Unseen from Seen for Generalized Zero-shot Learning,
CVPR22(7875-7884)
IEEE DOI 2210
Training, Visualization, Semantics, Benchmark testing, Pattern recognition, Image and video synthesis and generation, Transfer/low-shot/long-tail learning BibRef

Carrazco, J.I.D.[Julio Ivan Davila], Morerio, P.[Pietro], del Bue, A.[Alessio], Murino, V.[Vittorio],
Mixing Zero-Shot Learning Up: Learning Unseen Classes from Mixed Features,
CIAP22(II:610-620).
Springer DOI 2205
BibRef

Jhoo, W.Y.[Won Young], Heo, J.P.[Jae-Pil],
Collaborative Learning with Disentangled Features for Zero-shot Domain Adaptation,
ICCV21(8876-8885)
IEEE DOI 2203
Training, Visualization, Text recognition, Computational modeling, Semantics, Collaboration, Recognition and classification BibRef

Mall, U.[Utkarsh], Hariharan, B.[Bharath], Bala, K.[Kavita],
Field-Guide-Inspired Zero-Shot Learning,
ICCV21(9526-9535)
IEEE DOI 2203
Costs, Annotations, Benchmark testing, Task analysis, Sun, Transfer/Low-shot/Semi/Unsupervised Learning, BibRef

Chen, Z.[Zhi], Luo, Y.[Yadan], Qiu, R.H.[Rui-Hong], Wang, S.[Sen], Huang, Z.[Zi], Li, J.J.[Jing-Jing], Zhang, Z.[Zheng],
Semantics Disentangling for Generalized Zero-Shot Learning,
ICCV21(8692-8700)
IEEE DOI 2203
Training, Visualization, Correlation, Semantics, Feature extraction, BibRef

Lengyel, A.[Attila], Garg, S.[Sourav], Milford, M.[Michael], van Gemert, J.C.[Jan C.],
Zero-Shot Day-Night Domain Adaptation with a Physics Prior,
ICCV21(4379-4389)
IEEE DOI 2203
Visualization, Image edge detection, Lighting, Color, Detectors, Robustness, Reflection, Low-level and physics-based vision, Transfer/Low-shot/Semi/Unsupervised Learning BibRef

Chen, S.M.[Shi-Ming], Wang, W.J.[Wen-Jie], Xia, B.[Beihao], Peng, Q.[Qinmu], You, X.G.[Xin-Ge], Zheng, F.[Feng], Shao, L.[Ling],
FREE: Feature Refinement for Generalized Zero-Shot Learning,
ICCV21(122-131)
IEEE DOI 2203
Visualization, Codes, Semantics, Benchmark testing, Performance gain, Feature extraction, Recognition and classification, Transfer/Low-shot/Semi/Unsupervised Learning BibRef

Nie, H.[Hui], Wang, R.P.[Rui-Ping], Chen, X.L.[Xi-Lin],
From Node to Graph: Joint Reasoning on Visual-Semantic Relational Graph for Zero-Shot Detection,
WACV22(1648-1657)
IEEE DOI 2202
Visualization, Message passing, Image edge detection, Semantics, Object detection, Transforms, Semi- and Un- supervised Learning Object Detection/Recognition/Categorization BibRef

Sánchez, J.[Jorge], Molina, M.[Matías],
Trading-off Information Modalities in Zero-shot Classification,
WACV22(1677-1685)
IEEE DOI 2202
Training, Visualization, Upper bound, Annotations, Semantics, Fitting, Transfer, Few-shot, Semi- and Un- supervised Learning Object Detection/Recognition/Categorization BibRef

Singh, R.[Rishabh],
Bias: Bijective Input and Surjectivity In Zero Shot Learning,
ICIP21(1249-1253)
IEEE DOI 2201
Training, Visualization, Semantics, Feature extraction, Computational efficiency, Proposals, Zero shot learning, Embeddings BibRef

Bendre, N.[Nihar], Desai, K.[Kevin], Najafirad, P.[Peyman],
Generalized Zero-Shot Learning Using Multimodal Variational Auto-Encoder With Semantic Concepts,
ICIP21(1284-1288)
IEEE DOI 2201
Knowledge engineering, Semantics, Benchmark testing, Decoding, Task analysis, Image reconstruction, Representation Learning BibRef

Li, F.[Fang], Yeh, M.C.[Mei-Chen],
Generalized Zero-Shot Recognition Through Image-Guided Semantic Classification,
ICIP21(2483-2487)
IEEE DOI 2201
Vocabulary, Image recognition, Semantics, Prototypes, Transforms, Benchmark testing, Zero-shot learning, visual recognition, visual-semantic embedding BibRef

Chemmengath, S.A.[Saneem A.], Paul, S.[Soumava], Bharadwaj, S.[Samarth], Samanta, S.[Suranjana], Sankaranarayanan, K.[Karthik],
Addressing Target Shift in Zero-shot Learning using Grouped Adversarial Learning,
MELEX21(2368-2377)
IEEE DOI 2112
Correlation, Benchmark testing, Prediction algorithms, Adversarial machine learning BibRef

Dandu, H.[Hemanth], Sharma, K.[Karan], Bhandarkar, S.M.[Suchendra M.],
Exploring the Limits of Zero-Shot Learning: How Low Can You Go?,
MULA21(1710-1719)
IEEE DOI 2109
Measurement, Annotations, Training data, Benchmark testing, Prediction algorithms, deep learning BibRef

He, X.Y.[Xiang-Yu], Lu, J.H.[Jia-Hao], Xu, W.X.[Wei-Xiang], Hu, Q.H.[Qing-Hao], Wang, P.S.[Pei-Song], Cheng, J.[Jian],
Generative Zero-shot Network Quantization,
ECV21(2994-3005)
IEEE DOI 2109
Training, Quantization (signal), Image resolution, Image synthesis, Training data, Pattern recognition, Image restoration BibRef

Cheng, R.Z.[Rui-Zhe], Wu, B.C.[Bi-Chen], Zhang, P.Z.[Pei-Zhao], Vajda, P.[Peter], Gonzalez, J.E.[Joseph E.],
Data-Efficient Language-Supervised Zero-Shot Learning with Self-Distillation,
ECV21(3113-3118)
IEEE DOI 2109
Training, Visualization, Natural languages, Predictive models, Pattern recognition, Internet BibRef

Chandhok, S.[Shivam], Balasubramanian, V.N.[Vineeth N],
Two-Level Adversarial Visual-Semantic Coupling for Generalized Zero-shot Learning,
WACV21(3099-3107)
IEEE DOI 2106
Couplings, Training, Visualization, Image recognition, Semantics, Pipelines, Benchmark testing BibRef

Marmoreo, F.[Federico], Cavazza, J.[Jacopo], Murino, V.[Vittorio],
Transductive Zero-Shot Learning by Decoupled Feature Generation,
WACV21(3108-3117)
IEEE DOI 2106
Training, Visualization, Face recognition, Semantics, Pipelines BibRef

Verma, V.K.[Vinay Kumar], Mishra, A.[Ashish], Pandey, A.[Anubha], Murthy, H.A.[Hema A.], Rai, P.[Piyush],
Towards Zero-Shot Learning with Fewer Seen Class Examples,
WACV21(2240-2250)
IEEE DOI 2106
Training, Computational modeling, Benchmark testing, Generative adversarial networks BibRef

Samuel, D.[Dvir], Atzmon, Y.[Yuval], Chechik, G.[Gal],
From generalized zero-shot learning to long-tail with class descriptors,
WACV21(286-295)
IEEE DOI 2106
Visualization, Head, Fuses, Semantics, Benchmark testing BibRef

Wang, W.L.[Wen-Lin], Xu, H.T.[Hong-Teng], Wang, G.Y.[Guo-Yin], Wang, W.Q.[Wen-Qi], Carin, L.[Lawrence],
Zero-Shot Recognition via Optimal Transport,
WACV21(3470-3480)
IEEE DOI 2106
Benchmark testing, Generators, Standards BibRef

Sun, W.M.[Wei-Min], Xu, J.P.[Jie-Ping], Yang, G.[Gang],
Fine-grained Generation for Zero-shot Learning,
MMMod21(I:580-591).
Springer DOI 2106
BibRef

Chai, C.L.[Chun-Lai], Lou, Y.[Yukuan], Zhang, S.J.[Shi-Jin], Hua, M.[Ming],
Prior Knowledge about Attributes: Learning a More Effective Potential Space for Zero-Shot Recognition,
ICPR21(4751-4757)
IEEE DOI 2105
Visualization, Correlation, Convolution, Benchmark testing, Pattern recognition, Zero-shot learning, Attribute correlation BibRef

Wang, J.J.[Jun-Jie], Wang, X.F.[Xiang-Feng], Jin, B.[Bo], Yan, J.C.[Jun-Chi], Zhang, W.J.[Wen-Jie], Zha, H.Y.[Hong-Yuan],
Heterogeneous Graph-based Knowledge Transfer for Generalized Zero-shot Learning,
ICPR21(1859-1866)
IEEE DOI 2105
Training, Knowledge engineering, Adaptation models, Heuristic algorithms, Computational modeling, Benchmark testing, Graph neural networks BibRef

Li, X.[Xin], Wang, X.F.[Xiang-Feng], Jin, B.[Bo], Zhang, W.J.[Wen-Jie], Wang, J.[Jun], Zha, H.Y.[Hong-Yuan],
VSB2-Net: Visual-Semantic Bi-Branch Network for Zero-Shot Hashing,
ICPR21(1836-1843)
IEEE DOI 2105
Visualization, Semantics, Image retrieval, Benchmark testing, Pattern recognition, Acceleration, Image reconstruction BibRef

Zheng, S.X.[Si-Xiao], Fu, Y.W.[Yan-Wei], Hou, Y.X.[Yan-Xi],
Incrementally Zero-Shot Detection by an Extreme Value Analyzer,
ICPR21(8992-8999)
IEEE DOI 2105
Analytical models, Visualization, Semantics, Object detection, Pattern recognition, Task analysis BibRef

Sharma, K.[Karan], Dandu, H.[Hemanth], Kumar, A.C.S.[Arun C. S.], Kumar, V.[Vinay], Bhandarkar, S.M.[Suchendra M.],
Exploiting Word Embeddings for Recognition of Previously Unseen Objects,
MMDLCA20(314-329).
Springer DOI 2103
BibRef

Felix, R.[Rafael], Sasdelli, M.[Michele], Reid, I.D.[Ian D.], Carneiro, G.[Gustavo],
Augmentation Network for Generalised Zero-Shot Learning,
ACCV20(IV:442-458).
Springer DOI 2103
BibRef

Le Cacheux, Y.[Yannick], Popescu, A.[Adrian], Le Borgne, H.[Hervé],
Webly Supervised Semantic Embeddings for Large Scale Zero-shot Learning,
ACCV20(VI:514-531).
Springer DOI 2103
BibRef

Narayan, S.[Sanath], Gupta, A.[Akshita], Khan, F.S.[Fahad Shahbaz], Snoek, C.G.M.[Cees G. M.], Shao, L.[Ling],
Latent Embedding Feedback and Discriminative Features for Zero-shot Classification,
ECCV20(XXII:479-495).
Springer DOI 2011
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Shen, Y.M.[Yu-Ming], Qin, J.[Jie], Huang, L.[Lei], Liu, L.[Li], Zhu, F.[Fan], Shao, L.[Ling],
Invertible Zero-Shot Recognition Flows,
ECCV20(XVI: 614-631).
Springer DOI 2010
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Vyas, M.R.[Maunil R.], Venkateswara, H.[Hemanth], Panchanathan, S.[Sethuraman],
Leveraging Seen and Unseen Semantic Relationships for Generative Zero-shot Learning,
ECCV20(XXX: 70-86).
Springer DOI 2010
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Han, Z.Y.[Zong-Yan], Fu, Z.Y.[Zhen-Yong], Yang, J.[Jian],
Learning the Redundancy-Free Features for Generalized Zero-Shot Object Recognition,
CVPR20(12862-12871)
IEEE DOI 2008
Semantics, Visualization, Object recognition, Redundancy, Generators, Birds, Training BibRef

Liu, S., Chen, J., Pan, L., Ngo, C., Chua, T., Jiang, Y.,
Hyperbolic Visual Embedding Learning for Zero-Shot Recognition,
CVPR20(9270-9278)
IEEE DOI 2008
Semantics, Robustness, Geometry, Feature extraction, Visualization, Image recognition, Manifolds BibRef

Huynh, D.[Dat], Elhamifar, E.[Ehsan],
Interaction Compass: Multi-Label Zero-Shot Learning of Human-Object Interactions via Spatial Relations,
ICCV21(8452-8463)
IEEE DOI 2203
BibRef
Earlier:
A Shared Multi-Attention Framework for Multi-Label Zero-Shot Learning,
CVPR20(8773-8783)
IEEE DOI 2008
Training, Visualization, Image recognition, Annotations, Computational modeling, Genomics, Recognition and classification. Semantics, Feature extraction, Task analysis, Complexity theory BibRef

Brattoli, B., Tighe, J., Zhdanov, F., Perona, P., Chalupka, K.,
Rethinking Zero-Shot Video Classification: End-to-End Training for Realistic Applications,
CVPR20(4612-4622)
IEEE DOI 2008
Training, Visualization, Semantics, Task analysis, Feature extraction, Protocols BibRef

Shafiee, N.[Nasim], Elhamifar, E.[Ehsan],
Zero-Shot Attribute Attacks on Fine-Grained Recognition Models,
ECCV22(V:262-282).
Springer DOI 2211
BibRef

Huynh, D., Elhamifar, E.,
Fine-Grained Generalized Zero-Shot Learning via Dense Attribute-Based Attention,
CVPR20(4482-4492)
IEEE DOI 2008
Training, Semantics, Visualization, Feature extraction, Testing, Face recognition, Image recognition BibRef

Yu, Y., Ji, Z., Han, J., Zhang, Z.,
Episode-Based Prototype Generating Network for Zero-Shot Learning,
CVPR20(14032-14041)
IEEE DOI 2008
Semantics, Visualization, Prototypes, Training, Task analysis, Predictive models, Data models BibRef

Keshari, R., Singh, R., Vatsa, M.,
Generalized Zero-Shot Learning via Over-Complete Distribution,
CVPR20(13297-13305)
IEEE DOI 2008
Training, Decoding, Protocols, Databases, Mathematical model, Semantics, Gaussian distribution BibRef

Wu, J., Zhang, T., Zha, Z., Luo, J., Zhang, Y., Wu, F.,
Self-Supervised Domain-Aware Generative Network for Generalized Zero-Shot Learning,
CVPR20(12764-12773)
IEEE DOI 2008
Visualization, Semantics, Training, Data models, Image reconstruction, Bridges, Standards BibRef

Oreshkin, B.N., Rostamzadeh, N., Pinheiro, P.O., Pal, C.,
CLAREL: Classification via retrieval loss for zero-shot learning,
VL3W20(3989-3993)
IEEE DOI 2008
Measurement, Training, Task analysis, Artificial intelligence, Probabilistic logic, Prototypes, Visualization BibRef

Samplawski, C., Learned-Miller, E.G., Kwon, H., Marlin, B.M.,
Zero-Shot Learning in the Presence of Hierarchically Coarsened Labels,
VL3W20(4015-4019)
IEEE DOI 2008
Training, Benchmark testing, Maximum likelihood estimation, Semantics, Probabilistic logic, Dogs, Predictive models BibRef

Liu, Y., Li, J., Gao, X.,
A Simple Discriminative Dual Semantic Auto-encoder for Zero-shot Classification,
VL3W20(4053-4057)
IEEE DOI 2008
Semantics, Visualization, Sun, Task analysis, Feature extraction, Linear programming, Training BibRef

Li, Y., Shao, Y., Wang, D.,
Context-Guided Super-Class Inference for Zero-Shot Detection,
VL3W20(4064-4068)
IEEE DOI 2008
Feature extraction, Semantics, Convolution, Visualization, Training, Testing, Object detection BibRef

Lu, Z.Q.[Zi-Qian], Yu, Y.L.[Yun-Long], Lu, Z.M.[Zhe-Ming], Shen, F.L.[Feng-Li], Zhang, Z.F.[Zhong-Fei],
Attentive Semantic Preservation Network for Zero-Shot Learning,
EDLCV20(2919-2925)
IEEE DOI 2008
Semantics, Visualization, Task analysis, Prototypes, Training, Benchmark testing BibRef

Pambala, A.K., Dutta, T., Biswas, S.,
Generative Model with Semantic Embedding and Integrated Classifier for Generalized Zero-Shot Learning,
WACV20(1226-1235)
IEEE DOI 2006
Semantics, Visualization, Training, Generators, Task analysis, Loss measurement BibRef

Shen, J., Wang, H., Zhang, A., Qiu, Q., Zhen, X., Cao, X.,
Model-Agnostic Metric for Zero-Shot Learning,
WACV20(775-784)
IEEE DOI 2006
BibRef

Chen, Z.[Zhi], Li, J.J.[Jing-Jing], Luo, Y.D.[Ya-Dan], Huang, Z.[Zi], Yangyang, Y.Y.[Yang-Yang],
CANZSL: Cycle-Consistent Adversarial Networks for Zero-Shot Learning from Natural Language,
WACV20(863-872)
IEEE DOI 2006
Visualization, Semantics, Generators, Feature extraction, Training, Natural languages BibRef

Zhu, Y.Z.[Yi-Zhe], Xie, J.W.[Jian-Wen], Liu, B.C.[Bing-Chen], Elgammal, A.[Ahmed],
Learning Feature-to-Feature Translator by Alternating Back-Propagation for Generative Zero-Shot Learning,
ICCV19(9843-9853)
IEEE DOI 2004
backpropagation, data visualisation, feature extraction, Gaussian noise, Data models BibRef

Liu, Y., Guo, J., Cai, D., He, X.,
Attribute Attention for Semantic Disambiguation in Zero-Shot Learning,
ICCV19(6697-6706)
IEEE DOI 2004
learning (artificial intelligence), object recognition, semantic disambiguation, semantic activation, zero-shot learning, Aggregates BibRef

Li, A., Luo, T., Xiang, T., Huang, W., Wang, L.,
Few-Shot Learning With Global Class Representations,
ICCV19(9714-9723)
IEEE DOI 2004
image classification, learning (artificial intelligence), global representation, registered global class representation, Task analysis BibRef

Wu, Z., Li, Y., Guo, L., Jia, K.,
PARN: Position-Aware Relation Networks for Few-Shot Learning,
ICCV19(6658-6666)
IEEE DOI 2004
convolutional neural nets, correlation methods, feature extraction, image classification, Convolution BibRef

Gidaris, S., Bursuc, A., Komodakis, N., Pérez, P.P., Cord, M.,
Boosting Few-Shot Visual Learning With Self-Supervision,
ICCV19(8058-8067)
IEEE DOI 2004
Code, Learning.
WWW Link. feature extraction, image representation, learning (artificial intelligence), neural nets, Feature extraction BibRef

Dvornik, N., Mairal, J., Schmid, C.,
Diversity With Cooperation: Ensemble Methods for Few-Shot Classification,
ICCV19(3722-3730)
IEEE DOI 2004
image classification, learning (artificial intelligence), neural nets, predictive model learning, Convolutional neural networks BibRef

Zhang, J., Zhao, C., Ni, B., Xu, M., Yang, X.,
Variational Few-Shot Learning,
ICCV19(1685-1694)
IEEE DOI 2004
Bayes methods, learning (artificial intelligence), pattern classification, statistical distributions, Prototypes BibRef

Xie, S., Li, Y., Lin, D., Nwe, T.L., Dong, S.,
Meta Module Generation for Fast Few-Shot Incremental Learning,
MDALC19(1381-1390)
IEEE DOI 2004
image classification, learning (artificial intelligence), neural nets, deep neural networks, DNNs, image classification BibRef

Peng, Z.M.[Zhi-Mao], Li, Z.C.[Ze-Chao], Zhang, J.G.[Jun-Ge], Li, Y.[Yan], Qi, G.J.[Guo-Jun], Tang, J.H.[Jin-Hui],
Few-Shot Image Recognition With Knowledge Transfer,
ICCV19(441-449)
IEEE DOI 2004
convolutional neural nets, image classification, image fusion, image recognition, inference mechanisms, Testing BibRef

Ravichandran, A., Bhotika, R., Soatto, S.,
Few-Shot Learning With Embedded Class Models and Shot-Free Meta Training,
ICCV19(331-339)
IEEE DOI 2004
image representation, learning (artificial intelligence), higher-dimensional space, embedded class models, Web services BibRef

Nawaz, S.[Shah], Cavazza, J.[Jacopo], del Bue, A.[Alessio],
Semantically Grounded Visual Embeddings for Zero-Shot Learning,
MULA22(4588-4598)
IEEE DOI 2210
Learning systems, Visualization, Computational modeling, Soft sensors, Semantics, Benchmark testing BibRef

Bustreo, M., Cavazza, J., Murino, V.,
Enhancing Visual Embeddings through Weakly Supervised Captioning for Zero-Shot Learning,
MDALC19(1298-1307)
IEEE DOI 2004
feature extraction, image annotation, image classification, image enhancement, learning (artificial intelligence), semantic embedding BibRef

Jin, X., Xie, G., Huang, K., Miao, J., Wang, Q.,
Beyond Attributes: High-Order Attribute Features for Zero-Shot Learning,
CEFRL19(2953-2962)
IEEE DOI 2004
feature extraction, learning (artificial intelligence), object recognition, discriminative high-order semantic vector, Feature Learning BibRef

Li, K., Min, M.R., Fu, Y.,
Rethinking Zero-Shot Learning: A Conditional Visual Classification Perspective,
ICCV19(3582-3591)
IEEE DOI 2004
entropy, feature extraction, image classification, learning (artificial intelligence), neural nets BibRef

Purushwalkam, S., Nickel, M., Gupta, A., Ranzato, M.,
Task-Driven Modular Networks for Zero-Shot Compositional Learning,
ICCV19(3592-3601)
IEEE DOI 2004
image classification, learning (artificial intelligence), neural nets, zero-shot classification, Semantics BibRef

Qiao, L., Shi, Y., Li, J., Tian, Y., Huang, T., Wang, Y.,
Transductive Episodic-Wise Adaptive Metric for Few-Shot Learning,
ICCV19(3602-3611)
IEEE DOI 2004
learning (artificial intelligence), mathematical programming, pattern classification, few-shot learning, Prototypes BibRef

Elhoseiny, M., Elfeki, M.,
Creativity Inspired Zero-Shot Learning,
ICCV19(5783-5792)
IEEE DOI 2004
Code, Learning.
WWW Link. image denoising, image recognition, learning (artificial intelligence), psychology, text analysis, ZSL, Encyclopedias BibRef

Jiang, H., Wang, R., Shan, S., Chen, X.,
Transferable Contrastive Network for Generalized Zero-Shot Learning,
ICCV19(9764-9773)
IEEE DOI 2004
learning (artificial intelligence), neural nets, object recognition, GZSL, target categories, source classes, Fuses BibRef

Wu, X.X.[Xi-Xun], Song, B.H.[Bin-Heng], Wang, Z.X.[Zhi-Xiang], Yuan, C.[Chun],
An Inverse Mapping with Manifold Alignment for Zero-shot Learning,
MMMod20(II:400-411).
Springer DOI 2003
BibRef

Shao, Y., Li, Y., Wang, D.,
Zero-Shot Detection with Transferable Object Proposal Mechanism,
ICIP19(3666-3670)
IEEE DOI 1910
zero-shot recognition, object detection, object proposal, confidence distribution, semantic knowledge BibRef

Xie, Y., Xu, P., Ma, Z.,
Deep Zero-Shot Learning for Scene Sketch,
ICIP19(3661-3665)
IEEE DOI 1910
Scene Sketch, Zero-Shot Learning, Deep Embedding Model. BibRef

Song, J.Q.[Jian-Qiang], Shi, G.M.[Guang-Ming], Xie, X.M.[Xue-Mei], Gao, D.[Dahua],
Zero-Shot Learning Using Stacked Autoencoder with Manifold Regularizations,
ICIP19(3651-3655)
IEEE DOI 1910
Zero-shot learning, stacked autoencoder, manifold regularizers, general framework BibRef

Demirel, B., Cinbis, R.G., Ikizler-Cinbis, N.,
Learning Visually Consistent Label Embeddings for Zero-Shot Learning,
ICIP19(3656-3660)
IEEE DOI 1910
zero-shot learning, word embeddings, deep learning BibRef

Li, Y., Hu, H., Wang, D.,
Learning Visually Aligned Semantic Graph for Cross-Modal Manifold Matching,
ICIP19(3412-3416)
IEEE DOI 1910
Cross-modal learning, manifold alignment, zero-shot learning, graph matching BibRef

Guan, J.[Jiechao], Zhao, A.[An], Lu, Z.W.[Zhi-Wu],
Extreme Reverse Projection Learning for Zero-Shot Recognition,
ACCV18(I:125-141).
Springer DOI 1906
BibRef

Gao, R.[Rui], Hou, X.S.[Xing-Song], Qin, J.[Jie], Liu, L.[Li], Zhu, F.[Fan], Zhang, Z.[Zhao],
A Joint Generative Model for Zero-Shot Learning,
CEFR-LCV18(IV:631-646).
Springer DOI 1905
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Zhang, H.G.[Hong-Guang], Koniusz, P.[Piotr],
Model Selection for Generalized Zero-Shot Learning,
TASKCV18(II:198-204).
Springer DOI 1905
BibRef

Le Cacheux, Y.[Yannick], Le Borgne, H.[Hervé], Crucianu, M.[Michel],
From Classical to Generalized Zero-Shot Learning: A Simple Adaptation Process,
MMMod19(II:465-477).
Springer DOI 1901
BibRef

Li, B.L.[Bing-Lin], Wang, Y.[Yang],
Visual Relationship Detection Using Joint Visual-Semantic Embedding,
ICPR18(3291-3296)
IEEE DOI 1812
Visualization, Semantics, Feature extraction, Object detection, Task analysis, Detectors, Logic gates BibRef

Pathak, D., Mahmoudieh, P., Luo, G., Agrawal, P., Chen, D., Shentu, F., Shelhamer, E., Malik, J.[Jitendra], Efros, A.A.[Alexei A.], Darrell, T.J.[Trevor J.],
Zero-Shot Visual Imitation,
DeepLearnRV18(2131-21313)
IEEE DOI 1812
Task analysis, Robots, Visualization, Training, Navigation, Trajectory, Shape BibRef

Zhu, Y., Elhoseiny, M., Liu, B., Peng, X., Elgammal, A.,
A Generative Adversarial Approach for Zero-Shot Learning from Noisy Texts,
CVPR18(1004-1013)
IEEE DOI 1812
Visualization, Semantics, Feature extraction, Generators, Noise measurement, Encyclopedias BibRef

Song, J., Shen, C., Yang, Y., Liu, Y., Song, M.,
Transductive Unbiased Embedding for Zero-Shot Learning,
CVPR18(1024-1033)
IEEE DOI 1812
Visualization, Semantics, Training, Target recognition, Image recognition, Data models, Supervised learning BibRef

Chen, L., Zhang, H., Xiao, J., Liu, W., Chang, S.,
Zero-Shot Visual Recognition Using Semantics-Preserving Adversarial Embedding Networks,
CVPR18(1043-1052)
IEEE DOI 1812
Semantics, Image reconstruction, Visualization, Training, Image color analysis, Generative adversarial networks, Birds BibRef

Lee, C., Fang, W., Yeh, C., Wang, Y.F.,
Multi-label Zero-Shot Learning with Structured Knowledge Graphs,
CVPR18(1576-1585)
IEEE DOI 1812
Semantics, Task analysis, Recurrent neural networks, Correlation, Logic gates, Knowledge engineering BibRef

Verma, V.K., Arora, G., Mishra, A., Rai, P.,
Generalized Zero-Shot Learning via Synthesized Examples,
CVPR18(4281-4289)
IEEE DOI 1812
Generators, Training, Predictive models, Probabilistic logic, Decoding, Image reconstruction BibRef

Xian, Y., Lorenz, T., Schiele, B., Akata, Z.,
Feature Generating Networks for Zero-Shot Learning,
CVPR18(5542-5551)
IEEE DOI 1812
Generative adversarial networks, Training, Generators, Task analysis, Training data, Feature extraction BibRef

Wang, X., Ye, Y., Gupta, A.,
Zero-Shot Recognition via Semantic Embeddings and Knowledge Graphs,
CVPR18(6857-6866)
IEEE DOI 1812
Visualization, Semantics, Training, Animals, Task analysis, Symmetric matrices, Pattern recognition BibRef

Li, Y., Zhang, J., Zhang, J., Huang, K.,
Discriminative Learning of Latent Features for Zero-Shot Recognition,
CVPR18(7463-7471)
IEEE DOI 1812
Semantics, Task analysis, Visualization, Image recognition, Training, Feature extraction, Predictive models BibRef

Biswas, S., Annadani, Y.,
Preserving Semantic Relations for Zero-Shot Learning,
CVPR18(7603-7612)
IEEE DOI 1812
Semantics, Visualization, Manganese, Linear programming, Cats, Task analysis, Manifolds BibRef

Roy, A., Banerjee, B., Murino, V.,
Discriminative Latent Visual Space For Zero-Shot Object Classification,
ICPR18(2552-2557)
IEEE DOI 1812
Visualization, Semantics, Loss measurement, Prototypes, Standards, Decoding, Task analysis BibRef

Zhang, H., Koniusz, P.,
Zero-Shot Kernel Learning,
CVPR18(7670-7679)
IEEE DOI 1812
Kernel, Task analysis, Training, Semantics, Testing, Probabilistic logic, Linear discriminant analysis BibRef

Song, J.[Jie], Shen, C.C.[Cheng-Chao], Lei, J.[Jie], Zeng, A.X.[An-Xiang], Ou, K.[Kairi], Tao, D.C.[Da-Cheng], Song, M.L.[Ming-Li],
Selective Zero-Shot Classification with Augmented Attributes,
ECCV18(IX: 474-490).
Springer DOI 1810
BibRef

Felix, R.[Rafael], Sasdelli, M.[Michele], Harwood, B.[Ben], Carneiro, G.[Gustavo],
Generalised Zero-shot Learning with Multi-modal Embedding Spaces,
DICTA20(1-8)
IEEE DOI 2201
Visualization, Digital images, Semantics, Benchmark testing, Space exploration BibRef

Felix, R.[Rafael], Kumar, B.G.V.[B. G. Vijay], Reid, I.D.[Ian D.], Carneiro, G.[Gustavo],
Multi-modal Cycle-Consistent Generalized Zero-Shot Learning,
ECCV18(VI: 21-37).
Springer DOI 1810
BibRef

Bansal, A.[Ankan], Sikka, K.[Karan], Sharma, G.[Gaurav], Chellappa, R.[Rama], Divakaran, A.[Ajay],
Zero-Shot Object Detection,
ECCV18(I: 397-414).
Springer DOI 1810
BibRef

Wang, J., Li, Y., Pang, Z., Wang, D.,
Generating Manifold-Aligned Semantic Feature for Zero-Shot Learning,
ICIP18(1613-1617)
IEEE DOI 1809
Semantics, Visualization, Manifolds, Training, Probability distribution, Generators, Zero-shot learning, manifold alignment BibRef

Cao, X.H., Obradovic, Z., Kim, K.,
A Simple yet Effective Model for Zero-Shot Learning,
WACV18(766-774)
IEEE DOI 1806
image classification, image representation, learning (artificial intelligence), baseline models, Training BibRef

Liu, Q.L.[Qiu-Li], Li, Z.C.[Ze-Chao], Tang, J.H.[Jin-Hui],
Learning discriminative supplementary features to attributes for novel-category classification,
VCIP17(1-4)
IEEE DOI 1804
category theory, image classification, image representation, learning (artificial intelligence), Supplementary Feature BibRef

Xue, N., Wang, Y., Fan, X., Min, M.,
Incremental zero-shot learning based on attributes for image classification,
ICIP17(850-854)
IEEE DOI 1803
Linear matrix inequalities, Matrix decomposition, Object recognition, Pattern recognition, Software, zero-shot BibRef

Jia, Z., Zhang, J., Huang, K., Tan, T.,
Encyclopedia enhanced semantic embedding for zero-shot learning,
ICIP17(1287-1291)
IEEE DOI 1803
Encyclopedias, Mathematical model, Prototypes, Semantics, Task analysis, Training, image classification, zero-shot learning BibRef

Zhao, B., Wu, B., Wu, T., Wang, Y.,
Zero-Shot Learning Posed as a Missing Data Problem,
TASKCV17(2616-2622)
IEEE DOI 1802
Animals, Feature extraction, Gaussian distribution, Manifolds, Training, Training data, Upper bound BibRef

Demirel, B., Cinbis, R.G., Ikizler-Cinbis, N.,
Attributes2Classname: A Discriminative Model for Attribute-Based Unsupervised Zero-Shot Learning,
ICCV17(1241-1250)
IEEE DOI 1802
feature extraction, image annotation, learning (artificial intelligence), text analysis, vectors, Visualization BibRef

Xu, X.[Xing], Shen, F.M.[Fu-Min], Yang, Y.[Yang], Zhang, D.X.[Dong-Xiang], Shen, H.T.[Heng Tao], Song, J.K.[Jing-Kuan],
Matrix Tri-Factorization with Manifold Regularizations for Zero-Shot Learning,
CVPR17(2007-2016)
IEEE DOI 1711
Feature extraction, Manifolds, Matrix decomposition, Semantics, Training, Training data, Visualization BibRef

Morgado, P., Vasconcelos, N.M.,
Semantically Consistent Regularization for Zero-Shot Recognition,
CVPR17(2037-2046)
IEEE DOI 1711
Computational modeling, Image recognition, Pattern recognition, Semantics, Training, Visualization, Vocabulary BibRef

Li, Y., Wang, D., Hu, H., Lin, Y., Zhuang, Y.,
Zero-Shot Recognition Using Dual Visual-Semantic Mapping Paths,
CVPR17(5207-5215)
IEEE DOI 1711
Feature extraction, Machine learning, Manifolds, Optimization, Semantics, Testing BibRef

Deutsch, S., Kolouri, S., Kim, K., Owechko, Y., Soatto, S.,
Zero Shot Learning via Multi-scale Manifold Regularization,
CVPR17(5292-5299)
IEEE DOI 1711
Benchmark testing, Manifolds, Semantics, Training, Unsupervised learning, Visualization, Wavelet, domain BibRef

Markowitz, J., Schmidt, A.C., Burlina, P.M., Wang, I.J.,
Hierarchical zero-shot classification with convolutional neural network features and semantic attribute learning,
MVA17(194-197)
DOI Link 1708
Buildings, Neural networks, Organizations, Semantics, Support vector machines, Training, Training, data BibRef

Naha, S., Wang, Y.,
Object figure-ground segmentation using zero-shot learning,
ICPR16(2842-2847)
IEEE DOI 1705
Image segmentation, Knowledge transfer, Object segmentation, Semantics, Standards, Training, Visualization BibRef

Dolma, Y.[Yeshi], Namboodiri, V.P.[Vinay P.],
Using Gaussian Processes to Improve Zero-Shot Learning with Relative Attributes,
ACCV16(V: 150-164).
Springer DOI 1704
BibRef

Li, H.H.[Han-Hui], Wu, H.F.[He-Feng], Lin, S.J.[Shu-Jin], Lin, L.[Liang], Luo, X.N.[Xiao-Nan], Izquierdo, E.[Ebroul],
Boosting Zero-Shot Image Classification via Pairwise Relationship Learning,
ACCV16(I: 85-99).
Springer DOI 1704
BibRef

Xian, Y., Akata, Z.[Zeynep], Sharma, G., Nguyen, Q., Hein, M.[Matthias], Schiele, B.[Bernt],
Latent Embeddings for Zero-Shot Classification,
CVPR16(69-77)
IEEE DOI 1612
BibRef

Qiao, R., Liu, L., Shen, C., van den Hengel, A.J.[Anton J.],
Less is More: Zero-Shot Learning from Online Textual Documents with Noise Suppression,
CVPR16(2249-2257)
IEEE DOI 1612
BibRef

Al-Halah, Z., Stiefelhagen, R.,
Automatic Discovery, Association Estimation and Learning of Semantic Attributes for a Thousand Categories,
CVPR17(5112-5121)
IEEE DOI 1711
Data models, Estimation, Predictive models, Semantics, Visualization, Vocabulary BibRef

Al-Halah, Z., Tapaswi, M., Stiefelhagen, R.,
Recovering the Missing Link: Predicting Class-Attribute Associations for Unsupervised Zero-Shot Learning,
CVPR16(5975-5984)
IEEE DOI 1612
BibRef

Zhang, Y., Gong, B., Shah, M.,
Fast Zero-Shot Image Tagging,
CVPR16(5985-5994)
IEEE DOI 1612
BibRef

Akata, Z.[Zeynep], Malinowski, M., Fritz, M.[Mario], Schiele, B.[Bernt],
Multi-cue Zero-Shot Learning with Strong Supervision,
CVPR16(59-68)
IEEE DOI 1612
BibRef

Jurie, F.[Frédéric], Bucher, M.[Maxime], Herbin, S.[Stéphane],
Generating Visual Representations for Zero-Shot Classification,
TASKCV17(2666-2673)
IEEE DOI 1802
BibRef
Earlier: A2, A3, A1:
Improving Semantic Embedding Consistency by Metric Learning for Zero-Shot Classiffication,
ECCV16(V: 730-746).
Springer DOI 1611
BibRef
And: A2, A3, A1:
Hard Negative Mining for Metric Learning Based Zero-Shot Classification,
TASKCV16(III: 524-531).
Springer DOI 1611
Data models, Generators, Gold, Semantics, Training, Visualization BibRef

Ye, M., Guo, Y.,
Zero-Shot Classification with Discriminative Semantic Representation Learning,
CVPR17(5103-5111)
IEEE DOI 1711
Dictionaries, Encoding, Prototypes, Semantics, Sparse matrices, Training, Visualization BibRef

Ye, M.[Meng], Guo, Y.H.[Yu-Hong],
Multi-Label Zero-Shot Learning With Transfer-Aware Label Embedding Projection,
ICIP19(3671-3675)
IEEE DOI 1910
Zero-shot learning, multi-label classification, label embedding, auxiliary information BibRef

Li, X.[Xin], Guo, Y.H.[Yu-Hong], Schuurmans, D.[Dale],
Semi-Supervised Zero-Shot Classification with Label Representation Learning,
ICCV15(4211-4219)
IEEE DOI 1602
Adaptation models BibRef

Zhang, Z.M.[Zi-Ming], Saligrama, V.[Venkatesh],
Zero-Shot Learning via Joint Latent Similarity Embedding,
CVPR16(6034-6042)
IEEE DOI 1612
BibRef
And:
Zero-Shot Recognition via Structured Prediction,
ECCV16(VII: 533-548).
Springer DOI 1611
BibRef
Earlier:
Zero-Shot Learning via Semantic Similarity Embedding,
ICCV15(4166-4174)
IEEE DOI 1602
Benchmark testing
See also PRISM: Person Reidentification via Structured Matching. BibRef

Yang, Y.X.[Yong-Xin], Hospedales, T.M.[Timothy M.],
Multivariate Regression on the Grassmannian for Predicting Novel Domains,
CVPR16(5071-5080)
IEEE DOI 1612
BibRef
Earlier:
Zero-Shot Domain Adaptation via Kernel Regression on the Grassmannian,
DIFF-CV15(xx-yy).
DOI Link 1601
BibRef

Naha, S.[Shujon], Wang, Y.[Yang],
Zero-Shot Object Recognition Using Semantic Label Vectors,
CRV15(94-100)
IEEE DOI 1507
Computer vision. Given images and training images, recognize another non-overlapping class with no training examples. BibRef

Fu, Z.Y.[Zhen-Yong], Xiang, T.A.[Tao A.], Kodirov, E.[Elyor], Gong, S.G.[Shao-Gang],
Zero-shot object recognition by semantic manifold distance,
CVPR15(2635-2644)
IEEE DOI 1510
BibRef

Al-Halah, Z.[Ziad], Stiefelhagen, R.[Rainer],
How to Transfer? Zero-Shot Object Recognition via Hierarchical Transfer of Semantic Attributes,
WACV15(837-843)
IEEE DOI 1503
Abstracts;Accuracy;Birds;Semantics;Testing;Training;Visualization BibRef

Jetley, S.[Saumya], Romera-Paredes, B.[Bernardino], Jayasumana, S.[Sadeep], Torr, P.H.S.[Philip H.S.],
Prototypical Priors: From Improving Classification to Zero-Shot Learning,
BMVC15(xx-yy).
DOI Link 1601
BibRef

Liu, L.C.[Liang-Chen], Wiliem, A.[Arnold], Chen, S.K.[Shao-Kang], Lovell, B.C.[Brian C.],
Automatic and quantitative evaluation of attribute discovery methods,
WACV16(1-9)
IEEE DOI 1606
BibRef
Earlier:
Automatic Image Attribute Selection for Zero-Shot Learning of Object Categories,
ICPR14(2619-2624)
IEEE DOI 1412
Binary codes. Animals BibRef

Antol, S.[Stanislaw], Agrawal, A.[Aishwarya], Lu, J.[Jiasen], Mitchell, M.[Margaret], Batra, D.[Dhruv], Zitnick, C.L.[C. Lawrence], Parikh, D.[Devi],
VQA: Visual Question Answering,
ICCV15(2425-2433)
IEEE DOI 1602
Cognition
See also VQA: Visual Question Answering. BibRef

Antol, S.[Stanislaw], Zitnick, C.L.[C. Lawrence], Parikh, D.[Devi],
Zero-Shot Learning via Visual Abstraction,
ECCV14(IV: 401-416).
Springer DOI 1408
Categories described by text BibRef

Kankuekul, P.[Pichai], Kawewong, A.[Aram], Tangruamsub, S.[Sirinart], Hasegawa, O.[Osamu],
Online incremental attribute-based zero-shot learning,
CVPR12(3657-3664).
IEEE DOI 1208
BibRef

Chapter on Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms continues in
Data Augmentation, Generative Network, Convolutional Network .