Comments (2)
i tried loading a pretrained DETReg model (which loads the backbone and encoder, not the decoder as it is different). It did not really work.
However, my pretrained model was trained on ImageNet which is different than Visual Genome (subset of COCO). So maybe it would work loading a DETR trained on COCO instead.
you can also try to freeze or not freeze the weights you are loading.
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Hi,
I think it is reasonable but I am not sure if it really works. The decoder learns the triplet distribution, which is the key. Empirically it takes some time.
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Related Issues (20)
- Memory Utilization Issue HOT 1
- demo问题 HOT 3
- Number of classes of relations in VG
- The problem of RelTR Demo.ipynb HOT 1
- about output HOT 2
- Model not getting trained on single GPU HOT 4
- Evaluation on VRD dataset HOT 1
- Hi, the training results are lower than reported results. HOT 4
- Inquiry about code behavior in relation to constraints of evaluation metrics HOT 1
- About training strategy HOT 1
- Can ur work train on VidOR? HOT 1
- Some questions about evaluation HOT 2
- RuntimeError: CUDA error: device-side assert triggered CUDA kernel errors might be asynchronously reported at some other API call, so the stacktrace below might be incorrect. For debugging consider passing CUDA_LAUNCH_BLOCKING=1. Compile with `TORCH_USE_CUDA_DSA` to enable device-side assertions. HOT 4
- About evaluate_rel_batch() function HOT 7
- name 'train_stats' is not defined HOT 2
- convert the reltr model to onnx forma
- about Predcls HOT 1
- Evaluation HOT 3
- checkpoint should be updated with enhanced version HOT 1
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