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anchor_target_layer.py中,mask_per_gt = torch.sum(IOU_map[i][:,:,:,k]>max_iou_per_gt, dim = 2) 这里将HWK在K维度上求和,这个操作和论文中提到的 ”With F, we filter the IOU map to keep those larger then F locations and combine them with OR operation to get a W × H mask“ 不匹配呀?
另外,论文中的公式3,imitation loss weight balancing factor这个值取值为多少呢?代码中默认值是0.01
repo主你好,我有下面3个问题,希望能得到你的解答:
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