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This repository has been archived by the owner on Mar 12, 2024. It is now read-only.
i follow the minimum implemention of detr and use the pretrained resnet50 with frozen_bn, and i implement the loss and matcher, the loss and the matcher is tested, then i use 1 img and want to overfit it, the classnum is 1, after 3 epoch the model's output is all same, i print the match indices during training, and found the indices is all different(i think the indices for 1 img should be same), then i just set match indices to be the same, the result has no change, and i notice #169 may meet the same problem. So, what do you think about the problem, Is detr need a big batch_size and at least 10k dataset?
The text was updated successfully, but these errors were encountered:
i follow the minimum implemention of detr and use the pretrained resnet50 with frozen_bn, and i implement the loss and matcher, the loss and the matcher is tested, then i use 1 img and want to overfit it, the classnum is 1, after 3 epoch the model's output is all same, i print the match indices during training, and found the indices is all different(i think the indices for 1 img should be same), then i just set match indices to be the same, the result has no change, and i notice #169 may meet the same problem. So, what do you think about the problem, Is detr need a big batch_size and at least 10k dataset?
The text was updated successfully, but these errors were encountered: