Comments (6)
HobbitLong
commented on August 23, 2024
3
@jizongFox, I did not realize it. Maybe you are right then that the code probably only used normal BN.
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QuetzalcoatlRosso
commented on August 23, 2024
Are there any accuracy metrics that may be negatively impacted if syncbn is off and apex is not used at all?
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zcy5417
commented on August 23, 2024
作者你这也太坑了
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jizongFox
commented on August 23, 2024
作者你这也太坑了
????? what are you talking about?
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zcy5417
commented on August 23, 2024
作者你这也太坑了
????? what are you talking about?
我说作者坑啊，又没说你
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zcy5417
commented on August 23, 2024
作者你这也太坑了
????? what are you talking about?
我说作者坑啊，又没说你
SyncBN可能都没起到作用，论文的数据不就是有问题的吗
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Related Issues (20)
- The problem about the number of positives in code
- Why use two anchors? HOT 1
- Loss function is not convergent when batch-sizes smaller？ HOT 4
- the mean and std of cifar dataset
- File "main_supcon.py", line 270, in main opt = parse_option() File "main_supcon.py", line 94, in parse_option assert opt.degrees is not None AssertionError
- Question about potentially incomplete usage of 'logits_mask' HOT 1
- Is this using resnet50x4 width? HOT 2
- file “main_linear.py”， line103， set_model(opt) ，if torch.cuda.is_available() is false， why model will not load_state_dict(state_dict) HOT 1
- Execution of code for ImageNet code (Moco trick) HOT 1
- loss computation: mean and not sum HOT 4
- CE vs CE + SupCon HOT 2
- Purpose of logits_mask? HOT 3
- NaN loss for no positive pair from SupCon
- Pre-trained model HOT 1
- What mean, std and other datapreprocessing transforms did you use for ImageNet? HOT 1
- Moco trick?
- Code for using the ImageNet pretrained model
- solved
- How to change backbone HOT 1
- about loss_in and loss_out in paper
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