Acquistion Location Confidence for accurate object detection
Acquistion Location Confidence for accurate object detection 本論文主要是解決一下兩個問題： 1、分類得分高的預測框與IOU不匹配，（我猜應該是訓練數據集導致的） 2、基於迴歸的邊框修正是非單調的，缺乏可解釋性。 貢獻點 IoU-guided NMS Optimization refine PRpooling 1、IoU-gu
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- 1. Acquistion of Localization Confidence for Accurate Object Detection論文翻譯
- 2. Acquisition of Localization Confidence for Accurate Object Detection
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相關文章
- 1. Acquistion of Localization Confidence for Accurate Object Detection論文翻譯
- 2. Acquisition of Localization Confidence for Accurate Object Detection
- 3. 論文總結：IOU-Net （Acquisition of Localization Confidence for Accurate Object Detection）
- 4. 【目標檢測】IoU-Net：Acquisition of Localization Confidence for Accurate Object Detection
- 5. 論文筆記：(IOU-Net) Acquisition of Localization Confidence for Accurate Object Detection
- 6. 論文閱讀筆記——Acquisition of Localization Confidence for Accurate Object Detection
- 7. Region-Based Convolutional Networks for Accurate Object Detection and Segmentation
- 8. Bounding Box Regression with Uncertainty for Accurate Object Detection
- 9. RCNN：Rich feature hierarchies for accurate object detection and semantic segmentation
- 10. Rich feature hierarchies for accurate object detection and semantic segmentation