Chen, S.M.[Shi-Ming],
Hong, Z.M.[Zi-Ming],
Hou, W.J.[Wen-Jin],
Xie, G.S.[Guo-Sen],
Song, Y.B.[Yi-Bing],
Zhao, J.[Jian],
You, X.G.[Xin-Ge],
Yan, S.C.[Shui-Cheng],
Shao, L.[Ling],
TransZero++:
Cross Attribute-Guided Transformer for Zero-Shot Learning,
PAMI(45), No. 11, November 2023, pp. 12844-12861.
IEEE DOI
2310
BibRef
Chen, S.M.[Shi-Ming],
Hou, W.J.[Wen-Jin],
Khan, S.[Salman],
Khan, F.S.[Fahad Shahbaz],
Progressive Semantic-Guided Vision Transformer for Zero-Shot Learning,
CVPR24(23964-23974)
IEEE DOI
2410
Visualization, Zero-shot learning, Fuses, Semantics,
Benchmark testing, Performance gain, zero-shot learning
BibRef
Naeem, M.F.[Muhammad Ferjad],
Xian, Y.Q.[Yong-Qin],
Van Gool, L.J.[Luc J.],
Tombari, F.[Federico],
I2DFormer+: Learning Image to Document Summary Attention for Zero-Shot
Image Classification,
IJCV(132), No. 1, January 2024, pp. 3806-3822.
Springer DOI
2409
BibRef
Naeem, M.F.[Muhammad Ferjad],
Khan, M.G.Z.A.[Muhammad Gul Zain Ali],
Xian, Y.Q.[Yong-Qin],
Afzal, M.Z.[Muhammad Zeshan],
Stricker, D.[Didier],
Van Gool, L.J.[Luc J.],
Tombari, F.[Federico],
I2MVFormer: Large Language Model Generated Multi-View Document
Supervision for Zero-Shot Image Classification,
CVPR23(15169-15179)
IEEE DOI
2309
BibRef
Wang, J.H.[Jing-Hua],
Jiang, J.M.[Jian-Min],
Learning Across Tasks for Zero-Shot Domain Adaptation From a Single
Source Domain,
PAMI(44), No. 10, October 2022, pp. 6264-6279.
IEEE DOI
2209
Task analysis, Correlation, Training,
Generative adversarial networks, Animals, Semantics,
domain generalization
BibRef
Wang, J.H.[Jing-Hua],
Jiang, J.M.[Jian-Min],
An Unsupervised Deep Learning Framework via Integrated Optimization of
Representation Learning and GMM-Based Modeling,
ACCV18(I:249-265).
Springer DOI
1906
unsupervised deep learning framework.
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
Ye, Z.H.[Zi-Han],
Yang, G.Y.[Guan-Yu],
Jin, X.B.[Xiao-Bo],
Liu, Y.F.[You-Fa],
Huang, K.Z.[Kai-Zhu],
Rebalanced Zero-Shot Learning,
IP(32), 2023, pp. 4185-4198.
IEEE DOI
2308
Semantics, Visualization, Training, Predictive models,
Feature extraction, Transformers, Task analysis, reweighting strategy
BibRef
Liu, M.[Man],
Zhang, C.J.[Chun-Jie],
Bai, H.H.[Hui-Hui],
Zhao, Y.[Yao],
Part-Object Progressive Refinement Network for Zero-Shot Learning,
IP(33), 2024, pp. 2032-2043.
IEEE DOI Code:
WWW Link.
2403
Semantics, Visualization, Prototypes, Transformers, Training,
Task analysis, Feature extraction, Zero-shot learning,
prototype updating
BibRef
Zhao, P.[Peng],
Xi, X.M.[Xiao-Ming],
Wang, Q.C.[Qiang-Chang],
Yin, Y.L.[Yi-Long],
Characterizing Hierarchical Semantic-Aware Parts With Transformers
for Generalized Zero-Shot Learning,
CirSysVideo(34), No. 11, November 2024, pp. 11493-11506.
IEEE DOI
2412
Prototypes, Semantics, Transformers, Tail, Zero-shot learning,
Noise measurement, Circuits and systems, Transformer,
prototype learning
BibRef
Damalla, R.[Rambabu],
Bendre, P.A.[Pratik Abhijeet],
Gayathri, C.,
Datla, R.[Rajeshreddy],
Chalavadi, V.[Vishnu],
TransRefine: Transformer-augmented feature refinement for zero-shot
scene classification in remote sensing images,
PR(162), 2025, pp. 111406.
Elsevier DOI Code:
WWW Link.
2503
Zero-shot learning, Remote-sensing images, Scene classification
BibRef
Xu, K.X.[Kai-Xin],
Wang, Z.[Zhe],
Chen, C.Y.[Chun-Yun],
Geng, X.[Xue],
Lin, J.[Jie],
Yang, X.[Xulei],
Wu, M.[Min],
Li, X.L.[Xiao-Li],
Lin, W.S.[Wei-Si],
LPVIT: Low-power Semi-structured Pruning for Vision Transformers,
ECCV24(LXXI: 269-287).
Springer DOI
2412
BibRef
Su, D.[Diwei],
Fei, C.[Cheng],
Luo, J.X.[Jian-Xu],
Removing Rows and Columns of Tokens in Vision Transformer Enables
Faster Dense Prediction Without Retraining,
ECCV24(LXXII: 325-341).
Springer DOI
2412
BibRef
Vo, X.T.[Xuan-Thuy],
Nguyen, D.L.[Duy-Linh],
Priadana, A.[Adri],
Jo, K.H.[Kang-Hyun],
Efficient Vision Transformers with Partial Attention,
ECCV24(LXXXIII: 298-317).
Springer DOI
2412
BibRef
Yang, J.W.[Jia-Wei],
Luo, K.Z.[Katie Z.],
Li, J.F.[Jie-Feng],
Deng, C.[Congyue],
Guibas, L.J.[Leonidas J.],
Krishnan, D.[Dilip],
Weinberger, K.Q.[Kilian Q.],
Tian, Y.[Yonglong],
Wang, Y.[Yue],
Denoising Vision Transformers,
ECCV24(LXXXV: 453-469).
Springer DOI
2412
BibRef
Tian, B.[Bowei],
Du, R.J.[Rui-Jie],
Shen, Y.N.[Yan-Ning],
Fairvit: Fair Vision Transformer via Adaptive Masking,
ECCV24(LXV: 451-466).
Springer DOI
2412
BibRef
Hu, X.X.[Xi-Xu],
Zheng, R.[Runkai],
Wang, J.D.[Jin-Dong],
Leung, C.H.[Cheuk Hang],
Wu, Q.[Qi],
Xie, X.[Xing],
Specformer: Guarding Vision Transformer Robustness via Maximum Singular
Value Penalization,
ECCV24(LIV: 345-362).
Springer DOI
2412
BibRef
Wang, H.J.[Hong-Jie],
Dedhia, B.[Bhishma],
Jha, N.K.[Niraj K.],
Zero-TPrune: Zero-Shot Token Pruning Through Leveraging of the
Attention Graph in Pre-Trained Transformers,
CVPR24(16070-16079)
IEEE DOI Code:
WWW Link.
2410
Accuracy, Costs, Computational modeling, Transfer learning,
Transformers, Throughput, token pruning, vision transformer,
efficiency
BibRef
Tartaglione, E.[Enzo],
The Rise of the Lottery Heroes: Why Zero-Shot Pruning is Hard,
ICIP22(2361-2365)
IEEE DOI
2211
Training, Deep learning, Computational modeling, Complexity theory,
Optimization, The lottery ticket hypothesis, pruning,
deep learning
BibRef
Choi, Y.[Yoojin],
El-Khamy, M.[Mostafa],
Lee, J.[Jungwon],
Zero-Shot Learning of A Conditional Generative Adversarial Network
for Data-Free Network Quantization,
ICIP21(3552-3556)
IEEE DOI
2201
Training, Quantization (signal), Image coding, Pipelines,
Neural networks, Training data, Generative adversarial networks, quantization
BibRef
Chapter on Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms continues in
Data Augmentation, Generative Network, Convolutional Network .