論文解讀 Receptive Field Block Net for Accurate and Fast Object Detection
PDF全文地址：http://tensorinfinity.com/paper_117.html 論文解讀 Receptive Field Block Net for Accurate and Fast Object Detection ECCV 2018 隨着深度神經網絡的發展,目前性能最佳的目標檢測模型都依賴於深度的CNN主幹網，如ResNet-101和Inception，雖然強大的特徵表示有
相關文章
- 1. Receptive Field Block Net for Accurate and Fast Object Detection論文筆記
- 2. 《Receptive Field Block Net for Accurate and Fast Object Detection》論文筆記
- 3. 目標檢測 | Receptive Field Block Net for Accurate and Fast Object Detection
- 4. Paper Reading:Receptive Field Block Net for Accurate and Fast Object Detection
- 5. RFB Net：Receptive Field Block Net for Accurate and Fast Object Detection
- 6. 論文解讀：R-CNN《Rich feature hierarchies for accurate object detection and semantic segmentation》
- 7. [論文解讀] 3DOP: 3D Object Proposals using Stereo Imagery for Accurate Object Class Detection
- 8. 【論文閱讀】Rich feature hierarchies for accurate object detection and semantic segmentation
- 9. Rich feature hierarchies for accurate object detection and semantic segmentation論文細讀
- 10. Object Detection---Fast-RCNN (論文解讀八）
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相關文章
- 1. Receptive Field Block Net for Accurate and Fast Object Detection論文筆記
- 2. 《Receptive Field Block Net for Accurate and Fast Object Detection》論文筆記
- 3. 目標檢測 | Receptive Field Block Net for Accurate and Fast Object Detection
- 4. Paper Reading:Receptive Field Block Net for Accurate and Fast Object Detection
- 5. RFB Net：Receptive Field Block Net for Accurate and Fast Object Detection
- 6. 論文解讀：R-CNN《Rich feature hierarchies for accurate object detection and semantic segmentation》
- 7. [論文解讀] 3DOP: 3D Object Proposals using Stereo Imagery for Accurate Object Class Detection
- 8. 【論文閱讀】Rich feature hierarchies for accurate object detection and semantic segmentation
- 9. Rich feature hierarchies for accurate object detection and semantic segmentation論文細讀
- 10. Object Detection---Fast-RCNN (論文解讀八）