Comments (3)
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Yes
CIoU loss between the masks
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Related Issues (20)
- 关于ciou loss的实现代码 HOT 4
- 请问论文中1/(w^2+h^2) 替换成1如何实现? HOT 2
- The measure of aspect ratio in ciou loss HOT 3
- Cluster-NMS HOT 7
- 预训练权重无法下载
- Evaluation Error HOT 6
- About the results
- There may be some syntax bugs in eval.py
- 关于Complete-IoU Loss and Cluster-NMS for Improving Object Detection and Instance Segmentation HOT 3
- RuntimeError: CUDA error: device-side assert triggered HOT 2
- eval.py里面遇到的问题 HOT 3
- test_dev 上的evaluation 执行python eval.py --trained_model=weights/yolact_base_54_800000.pth --output_coco_json --dataset=coco2017_testdev_dataset命令后 生成bbox和mask两个json文件,而非一个json文件 HOT 2
- 关于eval.py中发现的一点小问题
- Request for a basic documentation for NMS inputs HOT 2
- No `distance` function HOT 1
- CIoU loss error HOT 1
- All the 5, 000 × 7 × 7 anchor boxes HOT 3
- the ciou loss vs. computeciou HOT 8
- 训练 HOT 17
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