(38)[CVPR14] R-CNN: Rich feature hierarchies for accurate object detection and semantic segmentation
計劃完成深度學習入門的126篇論文第三十八篇，Berkeley的Ross Girshick等發表的層級特徵feature hierarchies用於object detection和semantic segmentation方向的論文。[github] Abstract 在PASCAL VOC標準數據集上測量的目標檢測性能在最近幾年趨於穩定。性能最好的方法是複雜的集成系統，它通常將多個低層圖像特性
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相關文章
- 1. Rich feature hierarchies for accurate object detection and semantic segmentation
- 2. RCNN學習筆記(1):Rich feature hierarchies for accurate object detection and semantic segmentation
- 3. [RCNN]Rich feature hierarchies for accurate object detection and semantic segmentation
- 4. 【目標檢測】RCNN (Rich feature hierarchies for accurate object detection and semantic segmentation)
- 5. Rich feature hierarchies for accurate object detection and semantic segmentation (RCNN)筆記
- 6. 【RCNN】《Rich feature hierarchies for accurate object detection and semantic segmentation 》
- 7. RCNN：Rich feature hierarchies for accurate object detection and semantic segmentation
- 8. Object Detection Network———Rcnn（Rich feature hierarchies for accurate oject detection and semantic ）
- 9. 目標檢測--Rich feature hierarchies for accurate object detection and semantic segmentation(CVPR 2014)
- 10. 論文解讀：R-CNN《Rich feature hierarchies for accurate object detection and semantic segmentation》