CVPR2020|WACV2020 |ICLR2021 小样本学习论文合辑

前言

根据openaccess cvpr2020给出的文章列表，根据关键词查询文章，并且下载论文。以下是我根据few-shot 和 few这两个作为关键字查询得到的文章列表

文章列表

1. FSS-1000: A 1000-Class Dataset for Few-Shot Segmentation
2. Multi-Domain Learning for Accurate and Few-Shot Color Constancy
3. Few-Shot Object Detection With Attention-RPN and Multi-Relation Detector
4. Adaptive Subspaces for Few-Shot Learning
5. CRNet: Cross-Reference Networks for Few-Shot Segmentation
6. Semi-Supervised Learning for Few-Shot Image-to-Image Translation
7. Few-Shot Learning of Part-Specific Probability Space for 3D Shape Segmentation
8. Learning to Select Base Classes for Few-Shot Classification
9. 3FabRec: Fast Few-Shot Face Alignment by Reconstruction
10. Few-Shot Open-Set Recognition Using Meta-Learning
11. Few-Shot Learning via Embedding Adaptation With Set-to-Set Functions
12. FGN: Fully Guided Network for Few-Shot Instance Segmentation
13. MineGAN: Effective Knowledge Transfer From GANs to Target Domains With Few Images
14. Few-Shot Pill Recognition
15. Learning to Structure an Image With Few Colors
16. Few-Shot Video Classification via Temporal Alignment
17. Few-Shot Class-Incremental Learning
18. DeepEMD: Few-Shot Image Classification With Differentiable Earth Mover’s Distance and Structured Classifiers
19. Meta-Learning of Neural Architectures for Few-Shot Learning
20. Boosting Few-Shot Learning With Adaptive Margin Loss
21. Instance Credibility Inference for Few-Shot Learning
22. TransMatch: A Transfer-Learning Scheme for Semi-Supervised Few-Shot Learning
23. DPGN: Distribution Propagation Graph Network for Few-Shot Learning
24. Adversarial Feature Hallucination Networks for Few-Shot Learning
25. Attentive Weights Generation for Few Shot Learning via Information Maximization
26. Weakly Supervised Semantic Point Cloud Segmentation: Towards 10x Fewer Labels
27. Incremental Few-Shot Object Detection
28. Revisiting Pose-Normalization for Fine-Grained Few-Shot Recognition
29. Improved Few-Shot Visual Classification
30. Few Sample Knowledge Distillation for Efficient Network Compression

脚本

上传到GitHub上啦，欢迎给个star,欢迎批评指正！

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WACV2020

openaccess WACV2020

1. Few-Shot Learning of Video Action Recognition Only Based on Video Contents
2. Charting the Right Manifold: Manifold Mixup for Few-shot Learning
3. Few-Shot Scene Adaptive Crowd Counting Using Meta-Learning
4. Class-Discriminative Feature Embedding For Meta-Learning based Few-Shot Classification

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ICLR2021

list

1. Free Lunch for Few-shot Learning: Distribution Calibration
2. Self-training For Few-shot Transfer Across Extreme Task Differences
3. Wandering within a world: Online contextualized few-shot learning
4. Few-Shot Learning via Learning the Representation, Provably
5. A Universal Representation Transformer Layer for Few-Shot Image Classification
6. Revisiting Few-sample BERT Fine-tuning
7. Concept Learners for Few-Shot Learning
8. IEPT: Instance-Level and Episode-Level Pretext Tasks for Few-Shot Learning
9. Conditionally Adaptive Multi-Task Learning: Improving Transfer Learning in NLP Using Fewer Parameters & Less Data
10. Incremental few-shot learning via vector quantization in deep embedded space
11. Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis
12. Few-Shot Bayesian Optimization with Deep Kernel Surrogates
13. Repurposing Pretrained Models for Robust Out-of-domain Few-Shot Learning
14. MELR: Meta-Learning via Modeling Episode-Level Relationships for Few-Shot Learning
15. Disentangling 3D Prototypical Networks for Few-Shot Concept Learning
16. MetaNorm: Learning to Normalize Few-Shot Batches Across Domains
17. Constellation Nets for Few-Shot Learning
18. Bayesian Few-Shot Classification with One-vs-Each Pólya-Gamma Augmented Gaussian Processes
19. BOIL: Towards Representation Change for Few-shot Learning
20. Bowtie Networks: Generative Modeling for Joint Few-Shot Recognition and Novel-View Synthesis