Acquistion Location Confidence for accurate object detection
Acquistion Location Confidence for accurate object detection 本论文主要是解决一下两个问题： 1、分类得分高的预测框与IOU不匹配，（我猜应该是训练数据集导致的） 2、基于回归的边框修正是非单调的，缺乏可解释性。 贡献点 IoU-guided NMS Optimization refine PRpooling 1、IoU-gu
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相关文章
- 1. Acquistion of Localization Confidence for Accurate Object Detection论文翻译
- 2. Acquisition of Localization Confidence for Accurate Object Detection
- 3. 论文总结：IOU-Net （Acquisition of Localization Confidence for Accurate Object Detection）
- 4. 【目标检测】IoU-Net：Acquisition of Localization Confidence for Accurate Object Detection
- 5. 论文笔记：(IOU-Net) Acquisition of Localization Confidence for Accurate Object Detection
- 6. 论文阅读笔记——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