[论文解读]Consistent Optimization for Single-Shot Object Detection将置信度与边框联系起来
论文题目：Consistent Optimization for Single-Shot Object Detection 作者：Tao Kong 1 Fuchun Sun 1 Huaping Liu 1 Yuning Jiang 2 Jianbo Shi 3 因为原始RetinaNet的class 与 location作为2个分支单独进行训练，没有建立联系，可能导致训练出来的predicted
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相关文章
- 1. 论文解读Focal Loss for Dense Object Detection
- 2. 论文解读-CenterNet：Keypoint Triplets for Object Detection
- 3. 论文解读：Relation Networks for Object Detection
- 4. Object Detection -- 论文FPN(Feature Pyramid Networks for Object Detection)解读
- 5. Object Detection · RCNN论文解读
- 6. Consistent Optimization for Single-Shot Object Detection - 你的anchor用对了吗？
- 7. 论文阅读-《Focal Loss for Dense Object Detection》
- 8. Focal Loss for Dense Object Detection论文阅读
- 9. 论文阅读：Deep Neural Networks for Object Detection
- 10. 论文阅读-《Relation Networks for Object Detection》