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[1] Joshua B. Tenenbaum,et al. One shot learning of simple visual concepts , 2011, CogSci.
[2] Mubarak Shah,et al. UCF101: A Dataset of 101 Human Actions Classes From Videos in The Wild , 2012, ArXiv.
[3] Subhransu Maji,et al. Meta-Learning With Differentiable Convex Optimization , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[4] Taesup Kim,et al. Edge-Labeling Graph Neural Network for Few-Shot Learning , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[5] Fatih Murat Porikli,et al. A Deeper Look at Power Normalizations , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[6] Fatih Murat Porikli,et al. Region Covariance: A Fast Descriptor for Detection and Classification , 2006, ECCV.
[7] Nikos Komodakis,et al. Generating Classification Weights With GNN Denoising Autoencoders for Few-Shot Learning , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[8] Yi-Chang Lu,et al. Deep Co-occurrence Feature Learning for Visual Object Recognition , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[9] Heng Wang,et al. Dense Dilated Network for Few Shot Action Recognition , 2018, ICMR.
[10] Efstratios Gavves,et al. Self-Supervised Video Representation Learning with Odd-One-Out Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[11] Nikos Komodakis,et al. Unsupervised Representation Learning by Predicting Image Rotations , 2018, ICLR.
[12] Richard S. Zemel,et al. Prototypical Networks for Few-shot Learning , 2017, NIPS.
[13] Bernt Schiele,et al. Feature Generating Networks for Zero-Shot Learning , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[14] Tao Xiang,et al. Learning to Compare: Relation Network for Few-Shot Learning , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[15] Hongguang Zhang,et al. Power Normalizing Second-Order Similarity Network for Few-Shot Learning , 2018, 2019 IEEE Winter Conference on Applications of Computer Vision (WACV).
[16] Joan Bruna,et al. Few-Shot Learning with Graph Neural Networks , 2017, ICLR.
[17] Hongguang Zhang,et al. Zero-Shot Kernel Learning , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[18] P. Perona,et al. Rapid natural scene categorization in the near absence of attention , 2002, Proceedings of the National Academy of Sciences of the United States of America.
[19] Yi Yang,et al. Compound Memory Networks for Few-Shot Video Classification , 2018, ECCV.
[20] Oriol Vinyals,et al. Matching Networks for One Shot Learning , 2016, NIPS.
[21] Sergey Levine,et al. Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks , 2017, ICML.
[22] Li Fei-Fei,et al. Neural Graph Matching Networks for Fewshot 3D Action Recognition , 2018, ECCV.
[23] Amos J. Storkey,et al. How to train your MAML , 2018, ICLR.
[24] Gregory R. Koch,et al. Siamese Neural Networks for One-Shot Image Recognition , 2015 .
[25] Thomas Serre,et al. HMDB: A large video database for human motion recognition , 2011, 2011 International Conference on Computer Vision.
[26] Thomas Brox,et al. Discriminative Unsupervised Feature Learning with Convolutional Neural Networks , 2014, NIPS.
[27] Bolei Zhou,et al. Moments in Time Dataset: One Million Videos for Event Understanding , 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[28] S. Levine,et al. Time-Contrastive Networks : Self-Supervised Learning from Pixels , 2017 .
[29] Fatih Murat Porikli,et al. Domain Adaptation by Mixture of Alignments of Second-or Higher-Order Scatter Tensors , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[30] Piyush Rai,et al. A Generative Approach to Zero-Shot and Few-Shot Action Recognition , 2018, 2018 IEEE Winter Conference on Applications of Computer Vision (WACV).
[31] Paul A. Viola,et al. Learning from one example through shared densities on transforms , 2000, Proceedings IEEE Conference on Computer Vision and Pattern Recognition. CVPR 2000 (Cat. No.PR00662).
[32] Subhransu Maji,et al. Boosting Supervision with Self-Supervision for Few-shot Learning , 2019, ArXiv.
[33] Bharath Hariharan,et al. Few-Shot Learning With Localization in Realistic Settings , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[34] Jing Zhang,et al. Few-Shot Learning via Saliency-Guided Hallucination of Samples , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[35] Patrick Pérez,et al. Boosting Few-Shot Visual Learning With Self-Supervision , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[36] Shimon Ullman,et al. Cross-generalization: learning novel classes from a single example by feature replacement , 2005, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05).
[37] Pietro Perona,et al. One-shot learning of object categories , 2006, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[38] Cordelia Schmid,et al. Label-Embedding for Attribute-Based Classification , 2013, 2013 IEEE Conference on Computer Vision and Pattern Recognition.
[39] Michael Fink,et al. Object Classification from a Single Example Utilizing Class Relevance Metrics , 2004, NIPS.
[40] Alexei A. Efros,et al. Unsupervised Visual Representation Learning by Context Prediction , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[41] Bharath Hariharan,et al. Low-Shot Visual Recognition by Shrinking and Hallucinating Features , 2016, 2017 IEEE International Conference on Computer Vision (ICCV).
[42] Lionel Lacassagne,et al. Enhanced local binary covariance matrices (ELBCM) for texture analysis and object tracking , 2013, MIRAGE '13.
[43] Leonidas J. Guibas,et al. Geometry Guided Convolutional Neural Networks for Self-Supervised Video Representation Learning , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[44] Krystian Mikolajczyk,et al. Higher-Order Occurrence Pooling for Bags-of-Words: Visual Concept Detection , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.