CVPR2020--ATSS： Adaptive Training Sample Selection
Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection ATSS为CVPR2020中的一篇论文，论文题目如上所示，大体意思为通过自适应选择训练样本来弥补基于锚和无锚检测器的差距。因为目前大多数目标检测成果都是在anchor-based的基础上产生的，
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相关文章
- 1. AdaptIS: Adaptive Instance Selection Network
- 2. Adaptive Reference Sample Smoothing(RSAF)
- 3. 论文笔记：目标检测正负样本划分方法Adaptive Training Sample Selection (ATSS)原理
- 4. 目标检测论文: Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample
- 5. 【论文笔记】HSIC WIth Small Training Sample Size Using Superpixel-Guided Training Sample Enlargement
- 6. [目标检测]Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample S
- 7. Hyperspectral Band Selection via Adaptive Subspace Partition Strategy
- 8. [Converge] Feature Selection in training of Deep Learning
- 9. MetaSelector: Meta-Learning for Recommendation with User-Level Adaptive Model Selection 走读
- 10. Machine Learning Course 4 Selection of Model