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Human vision is able to immediately recognize novel visual categories after seeing just one or a few training examples.
Learning from one example through shared densities on transforms
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Learning a similarity metric discriminatively, with application to face verification
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Neighbourhood components analysis
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Understanding the difficulty of training deep feedforward neural networks
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The Caltech-UCSD birds-200-2011 dataset
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Batch normalization: Accelerating deep network training by reducing internal covariate shift
S. Ioffe and C. Szegedy · 2015
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Siamese neural networks for one-shot image recognition
G. Koch, R. Zemel, and R. Salakhutdinov · 2015
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Human-level concept learning through probabilistic program induction
B. M. Lake, R. Salakhutdinov, and J. B. Tenenbaum · 2015
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ImageNet large scale visual recognition challenge
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Facenet: A unified embedding for face recognition and clustering
F. Schroff, D. Kalenichenko, and J. Philbin · 2015
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Going deeper with convolutions
C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, and A. Rabinovich · 2015
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J. L. Ba, J. R. Kiros, and G. E. Hinton · 2016
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Deep metric learning via lifted structured feature embedding
H. Oh Song, Y. Xiang, S. Jegelka, and S. Savarese · 2016
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Metric learning with adaptive density discrimination
O. Rippel, M. Paluri, P. Dollar, and L. Bourdev · 2016
Matching networks for one shot learning
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Low-shot visual recognition by shrinking and hallucinating features
B. Hariharan and R. Girshick · 2017
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Cosine normalization: Using cosine similarity instead of dot product in neural networks
C. Luo, J. Zhan, L. Wang, and Q. Yang · 2017
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No fuss distance metric learning using proxies
Y. Movshovitz-Attias, A. Toshev, T. K. Leung, S. Ioffe, and S. Singh · 2017
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Few-shot image recognition by predicting parameters from activations
S. Qiao, C. Liu, W. Shen, and A. Yuille · 2017
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Prototypical networks for few-shot learning
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Improved deep metric learning with multi-class N-pair loss objective
K. Sohn · 2016
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Learnable structured clustering framework for deep metric learning
H. O. Song, S. Jegelka, V. Rathod, and K. Murphy · 2016
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J. Snell, K. Swersky, and R. S. Zemel · 2017
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Learning unified embedding for apparel recognition
Y. Song, Y. Li, B. Wu, C.-Y. Chen, X. Zhang, and H. Adam · 2017
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NormFace: L2 hypersphere embedding for face verification
F. Wang, X. Xiang, J. Cheng, and A. L. Yuille · 2017
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