前言
根據openaccess cvpr2020給出的文章列表，根據關鍵詞查詢文章，並且下載論文。以下是我根據few-shot 和 few這兩個作爲關鍵字查詢得到的文章列表
文章列表
- FSS-1000: A 1000-Class Dataset for Few-Shot Segmentation
- Multi-Domain Learning for Accurate and Few-Shot Color Constancy
- Few-Shot Object Detection With Attention-RPN and Multi-Relation Detector
- Adaptive Subspaces for Few-Shot Learning
- CRNet: Cross-Reference Networks for Few-Shot Segmentation
- Semi-Supervised Learning for Few-Shot Image-to-Image Translation
- Few-Shot Learning of Part-Specific Probability Space for 3D Shape Segmentation
- Learning to Select Base Classes for Few-Shot Classification
- 3FabRec: Fast Few-Shot Face Alignment by Reconstruction
- Few-Shot Open-Set Recognition Using Meta-Learning
- Few-Shot Learning via Embedding Adaptation With Set-to-Set Functions
- FGN: Fully Guided Network for Few-Shot Instance Segmentation
- MineGAN: Effective Knowledge Transfer From GANs to Target Domains With Few Images
- Few-Shot Pill Recognition
- Learning to Structure an Image With Few Colors
- Few-Shot Video Classification via Temporal Alignment
- Few-Shot Class-Incremental Learning
- DeepEMD: Few-Shot Image Classification With Differentiable Earth Mover’s Distance and Structured Classifiers
- Meta-Learning of Neural Architectures for Few-Shot Learning
- Boosting Few-Shot Learning With Adaptive Margin Loss
- Instance Credibility Inference for Few-Shot Learning
- TransMatch: A Transfer-Learning Scheme for Semi-Supervised Few-Shot Learning
- DPGN: Distribution Propagation Graph Network for Few-Shot Learning
- Adversarial Feature Hallucination Networks for Few-Shot Learning
- Attentive Weights Generation for Few Shot Learning via Information Maximization
- Weakly Supervised Semantic Point Cloud Segmentation: Towards 10x Fewer Labels
- Incremental Few-Shot Object Detection
- Revisiting Pose-Normalization for Fine-Grained Few-Shot Recognition
- Improved Few-Shot Visual Classification
- Few Sample Knowledge Distillation for Efficient Network Compression
腳本
上傳到GitHub上啦，歡迎給個star,歡迎批評指正！