目标检测 | 经典算法 Cascade R-CNN: Delving into High Quality Object Detection
作者从detector的overfitting at training/quality mismatch at inference问题入手，提出了基于multi-stage的Cascade R-CNN，该网络结构清晰，效果显著，并且能简单移植到其它detector中，带来2-4%的性能提升 论文: Cascade R-CNN: Delving into High Quality Object De
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相关文章
- 1. 目标检测“Cascade R-CNN: Delving into High Quality Object Detection”
- 2. Cascade R-CNN: Delving into High Quality Object Detection
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