Fei-Fei, L.[Li],
Fergus, R.[Rob],
Perona, P.[Pietro],
One-Shot Learning of Object Categories,
PAMI(28), No. 4, April 2006, pp. 594-611.
IEEE DOI
0604
BibRef
Earlier:
A bayesian approach to unsupervised one-shot learning of object
categories,
ICCV03(1134-1141).
IEEE DOI
0311
BibRef
Wang, G.[Gang],
Zhang, Y.[Ye],
Fei-Fei, L.[Li],
Using Dependent Regions for Object Categorization in a Generative
Framework,
CVPR06(II: 1597-1604).
IEEE DOI
0606
BibRef
Rahman, S.[Shafin],
Khan, S.[Salman],
Barnes, N.,
Deep0Tag: Deep Multiple Instance Learning for Zero-Shot Image Tagging,
MultMed(22), No. 1, January 2020, pp. 242-255.
IEEE DOI
2001
BibRef
Earlier: A1, A2, Only:
Deep Multiple Instance Learning for Zero-Shot Image Tagging,
ACCV18(I:530-546).
Springer DOI
1906
Deep learning, Multiple instance learning, Feature pooling,
Object detection, Zero-shot tagging
BibRef
Zhuang, S.[Shuo],
Wang, P.[Ping],
Jiang, B.[Boran],
Wang, G.[Gang],
Wang, C.[Cong],
A Single Shot Framework with Multi-Scale Feature Fusion for
Geospatial Object Detection,
RS(11), No. 5, 2019, pp. xx-yy.
DOI Link
1903
BibRef
Woo, S.H.[Sang-Hyun],
Hwang, S.[Soonmin],
Jang, H.D.[Ho-Deok],
Kweon, I.S.[In So],
Gated bidirectional feature pyramid network for accurate one-shot
detection,
MVA(30), No. 4, June 2019, pp. 543-555.
Springer DOI
1906
BibRef
Chen, Z.,
Fu, Y.,
Zhang, Y.,
Jiang, Y.,
Xue, X.,
Sigal, L.,
Multi-Level Semantic Feature Augmentation for One-Shot Learning,
IP(28), No. 9, Sep. 2019, pp. 4594-4605.
IEEE DOI
1908
feature extraction,
learning (artificial intelligence), semantic networks, vectors,
feature augmentation
BibRef
Sihag, S.,
Tajer, A.,
Optimal Network Parameter Estimation:
Single-Shot Exchange of Local Decisions,
SPLetters(26), No. 9, September 2019, pp. 1280-1284.
IEEE DOI
1909
costing, estimation theory, iterative methods,
least mean squares methods, mean square error methods,
networks
BibRef
Zhang, L.L.[Ling-Ling],
Liu, J.[Jun],
Luo, M.[Minnan],
Chang, X.J.[Xiao-Jun],
Zheng, Q.H.[Qing-Hua],
Hauptmann, A.G.[Alexander G.],
Scheduled sampling for one-shot learning via matching network,
PR(96), 2019, pp. 106962.
Elsevier DOI
1909
Scheduled sampling, Matching network, From easy to difficult,
One-shot learning, Difficulty metric
BibRef
Li, X.R.[Xi-Rong],
Pu, F.L.[Fang-Ling],
Yang, R.[Rui],
Gui, R.[Rong],
Xu, X.[Xin],
AMN: Attention Metric Network for One-Shot Remote Sensing Image Scene
Classification,
RS(12), No. 24, 2020, pp. xx-yy.
DOI Link
2012
BibRef
Feng, L.J.[Liang-Jun],
Zhao, C.H.[Chun-Hui],
Li, X.[Xi],
Bias-Eliminated Semantic Refinement for Any-Shot Learning,
IP(31), 2022, pp. 2229-2244.
IEEE DOI
2203
Semantics, Training, Task analysis, Visualization, Generators,
Generative adversarial networks, Feature extraction,
modal alignment
BibRef
Xu, D.[Dan],
Alameda-Pineda, X.[Xavier],
Ouyang, W.L.[Wan-Li],
Ricci, E.[Elisa],
Wang, X.G.[Xiao-Gang],
Sebe, N.[Nicu],
Probabilistic Graph Attention Network With Conditional Kernels for
Pixel-Wise Prediction,
PAMI(44), No. 5, May 2022, pp. 2673-2688.
IEEE DOI
2204
Predictive models, Semantics, Task analysis, Estimation,
Probabilistic logic, Kernel, Structured representation learning,
pixel-wise prediction
BibRef
Deng, L.[Lizhen],
He, C.M.[Chun-Ming],
Xu, G.X.[Guo-Xia],
Zhu, H.[Hu],
Wang, H.[Hao],
PcGAN: A Noise Robust Conditional Generative Adversarial Network for
One Shot Learning,
ITS(23), No. 12, December 2022, pp. 25249-25258.
IEEE DOI
2212
Degradation, Task analysis, Prototypes, Image reconstruction,
Data models, Generative adversarial networks, Training,
intelligence transportation systems
BibRef
Duque-Domingo, J.[Jaime],
Aparicio, R.M.[Roberto Medina],
Rodrigo, L.M.G.[Luis Miguel González],
One Shot Learning with class partitioning and cross validation voting
(CP-CVV),
PR(143), 2023, pp. 109797.
Elsevier DOI
2310
One Shot Learning, CP-CVV, Siamese, ConvNeXt, ViT, Regnet,
Wide ResNet, ResNeXt, CVV, CNN, Ensemble models, Voting,
CIFARFS
BibRef
Cai, J.R.[Jia-Rui],
Wang, Y.Z.[Yi-Zhou],
Hwang, J.N.[Jenq-Neng],
ACE: Ally Complementary Experts for Solving Long-Tailed Recognition
in One-Shot,
ICCV21(112-121)
IEEE DOI
2203
Training, Representation learning, Codes, Computational modeling,
Linear programming, Classification algorithms,
BibRef
Chowdhury, A.[Arkabandhu],
Chaudhari, D.[Dipak],
Chaudhuri, S.[Swarat],
Jermaine, C.[Chris],
Meta-Meta Classification for One-Shot Learning,
WACV22(1628-1637)
IEEE DOI
2202
Classification algorithms, Task analysis,
Transfer, Few-shot, Semi- and Un- supervised Learning ,
Image Processing
BibRef
Xiao, C.X.[Chen-Xi],
Madapana, N.[Naveen],
Wachs, J.[Juan],
One-Shot Image Recognition Using Prototypical Encoders with Reduced
Hubness,
WACV21(2251-2260)
IEEE DOI
2106
Measurement, Backpropagation, Visualization,
Image recognition, Prototypes
BibRef
Li, Z.[Zeqian],
Mozer, M.[Michael],
Whitehill, J.[Jacob],
Compositional Embeddings for Multi-Label One-Shot Learning,
WACV21(296-304)
IEEE DOI
2106
Training, Image recognition,
Computational modeling, Supervised learning, Data models
BibRef
Guo, R.H.[Rong-Hao],
Lin, C.[Chen],
Li, C.[Chuming],
Tian, K.Y.[Ke-Yu],
Sun, M.[Ming],
Sheng, L.[Lu],
Yan, J.J.[Jun-Jie],
Powering One-shot Topological NAS with Stabilized Share-parameter Proxy,
ECCV20(XIV:625-641).
Springer DOI
2011
BibRef
Guo, Z.[Zichao],
Zhang, X.Y.[Xiang-Yu],
Mu, H.Y.[Hao-Yuan],
Heng, W.[Wen],
Liu, Z.C.[Ze-Chun],
Wei, Y.C.[Yi-Chen],
Sun, J.[Jian],
Single Path One-shot Neural Architecture Search with Uniform Sampling,
ECCV20(XVI: 544-560).
Springer DOI
2010
BibRef
Liu, C.,
Xu, C.,
Wang, Y.,
Zhang, L.,
Fu, Y.,
An Embarrassingly Simple Baseline to One-shot Learning,
VL3W20(4005-4009)
IEEE DOI
2008
Training, Measurement, Task analysis, Testing, Machine learning,
Support vector machines, Image recognition
BibRef
Li, X.,
Lin, C.,
Li, C.,
Sun, M.,
Wu, W.,
Yan, J.,
Ouyang, W.,
Improving One-Shot NAS by Suppressing the Posterior Fading,
CVPR20(13833-13842)
IEEE DOI
2008
Training, Fading channels, Bayes methods,
Computational modeling, Data models, Search problems
BibRef
Zhang, M.,
Li, H.,
Pan, S.,
Chang, X.,
Su, S.,
Overcoming Multi-Model Forgetting in One-Shot NAS With Diversity
Maximization,
CVPR20(7806-7815)
IEEE DOI
2008
Training, Task analysis, Optimization,
Search methods, Solid modeling, Degradation
BibRef
You, S.,
Huang, T.,
Yang, M.,
Wang, F.,
Qian, C.,
Zhang, C.,
GreedyNAS: Towards Fast One-Shot NAS With Greedy Supernet,
CVPR20(1996-2005)
IEEE DOI
2008
Training, Task analysis,
Graphics processing units, Hardware, Estimation
BibRef
Chen, Z.T.[Zi-Tian],
Fu, Y.W.[Yan-Wei],
Wang, Y.X.[Yu-Xiong],
Ma, L.[Lin],
Liu, W.[Wei],
Hebert, M.[Martial],
Image Deformation Meta-Networks for One-Shot Learning,
CVPR19(8672-8681).
IEEE DOI
2002
BibRef
Kim, J.[Junsik],
Oh, T.H.[Tae-Hyun],
Lee, S.[Seokju],
Pan, F.[Fei],
Kweon, I.S.[In So],
Variational Prototyping-Encoder:
One-Shot Learning With Prototypical Images,
CVPR19(9454-9462).
IEEE DOI
2002
BibRef
Choi, J.,
Krishnamurthy, J.,
Kembhavi, A.,
Farhadi, A.,
Structured Set Matching Networks for One-Shot Part Labeling,
CVPR18(3627-3636)
IEEE DOI
1812
Labeling, Training, Task analysis, Visualization, Predictive models,
Cognition, Semantics
BibRef
Cai, Q.,
Pan, Y.,
Yao, T.,
Yan, C.,
Mei, T.,
Memory Matching Networks for One-Shot Image Recognition,
CVPR18(4080-4088)
IEEE DOI
1812
Training, Image recognition, Memory modules, Task analysis,
Optimization, Knowledge engineering, Neural networks
BibRef
Wang, P.[Peng],
Liu, L.Q.[Ling-Qiao],
Shen, C.H.[Chun-Hua],
Huang, Z.[Zi],
van den Hengel, A.J.[Anton J.],
Shen, H.T.[Heng Tao],
Multi-attention Network for One Shot Learning,
CVPR17(6212-6220)
IEEE DOI
1711
Detectors, Feature extraction, Image recognition,
Image representation, Semantics, Training, Visualization
BibRef
Sagawa, R.,
Shiba, Y.,
Hirukawa, T.,
Ono, S.,
Kawasaki, H.,
Furukawa, R.,
Automatic feature extraction using CNN for robust active one-shot
scanning,
ICPR16(234-239)
IEEE DOI
1705
Cameras, Decoding, Encoding, Image color analysis,
Image reconstruction, Shape,
BibRef
Yan, W.[Wang],
Yap, J.[Jordan],
Mori, G.[Greg],
Multi-Task Transfer Methods to Improve One-Shot Learning for Multimedia
Event Detection,
BMVC15(xx-yy).
DOI Link
1601
BibRef
Tang, K.D.[Kevin D.],
Tappen, M.F.[Marshall F.],
Sukthankar, R.[Rahul],
Lampert, C.H.[Christoph H.],
Optimizing one-shot recognition with micro-set learning,
CVPR10(3027-3034).
IEEE DOI
1006
Learn from single example.
BibRef
Chapter on Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms continues in
Zero-Shot Learning .