Learning Region Features for Object Detection
圖像特徵提取，候選區域生成，候選區域特徵提取（roi pooling），區域識別，去重 fm x: Cf, H, W RoI b y(b) = RegionFeat(x, b) y(b): K, Cf. K比如是bin的數目 y_k(b): 第k個bin內的特徵 一般表述： 將y_k(b)的支持區域由roi pooling的一個bin內部擴展到整個fm x。權重依賴於位置p，fm x和roi b。
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- 1. 論文筆記：Learning Region Features for Object Detection
- 2. Learning Rich Features from RGB-D Images for Object Detection and Segmentation(ECCV2014)
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- 4. 【論文筆記】：Learning Rich Features at High-Speed for Single-Shot Object Detection
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- 6. 論文解析——Deep Reinforcement Learning of Region Proposal Networks for Object Detection
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相關文章
- 1. 論文筆記：Learning Region Features for Object Detection
- 2. Learning Rich Features from RGB-D Images for Object Detection and Segmentation(ECCV2014)
- 3. 《Learning Rich Features at High-Speed for Single-Shot Object Detection》筆記
- 4. 【論文筆記】：Learning Rich Features at High-Speed for Single-Shot Object Detection
- 5. Learning Rich Features at High-Speed for Single-Shot Object Detection 論文筆記
- 6. 論文解析——Deep Reinforcement Learning of Region Proposal Networks for Object Detection
- 7. Region-Based Convolutional Networks for Accurate Object Detection and Segmentation
- 8. Rapid Object Detection using a Boosted Cascade of Simple Features
- 9. Deep Learning Object Detection
- 10. object-detection