Comments (1)
It seems like to adhere to the number of parameters(2.61M) shown in the paper weights should be shared or else it would be very high number nearly 8M. The description in the paper seems to be a bit misleading.
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Related Issues (20)
- 模型参数大小与论文不符 HOT 10
- 作者你好,请问能不能把训练的代码公布一下
- Code
- 训练数据集
- Parameters
- Resume released trained model HOT 3
- 请问在对比学习中,控制第二项的判断条件始终不满足,是哪个地方设置错了吗 parser.add_argument('--w_loss_vgg7', type=float, default=0) if opt.w_loss_vgg7 > 0: HOT 2
- dcn运行报错
- Hi, from DCNv2.dcn_v2 import DCN , import _ext as _backend makes mistakes and I don't know how to cope "ModuleNotFoundError: No module named '_ext'" problem after several trials. Should I delete "build" and recreate it by "python setup.py build develop", but when I run it in terminal, "running build_ext" occurs. HOT 2
- Google drive link for pretrained weights HOT 2
- Runtime error: The size of tensor a (275) must match the size of tensor b (276) at non-singleton dimension 3 HOT 1
- Can you offer test.py file?
- Supplementary materials
- Could you please upload your test.py file for qualitative comparison
- where can i get the NH dataset?
- how to select one positive sample and multiple negative samples and compute CR loss? HOT 1
- h5
- Unable to download pre-trained models
- Open source code seems to be wrong//开源代码似乎是错误的
- 关于对比损失的权重问题 HOT 2
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