14.1.9.2 One Shot Learning

Chapter Contents (Back)
Small Sample Size. One-Shot Learning. Single Shot Learning. Once something is trained in some way, modify the rules with one or a sample to transfer to another category.
See also Few Shot Learning.
See also Zero-Shot Learning.
See also Open Set, Open World Recongnition.

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

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


Wang, Z.[Ze], Lu, Y.[Yue], Qiu, Q.[Qiang],
Meta-OLE: Meta-learned Orthogonal Low-Rank Embedding,
WACV23(5294-5303)
IEEE DOI 2302
Geometry, Feature extraction, Robustness, Regulation, Task analysis, Standards, Algorithms: Machine learning architectures, visual reasoning 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 .


Last update:Jul 13, 2024 at 15:27:21