Comments (2)
Thanks! Due to the policy in the company, I can't share the code with you right now. After a code review in my company, I will release it asap. Specifically, we follow the multi-scale evaluation method as CFBI and directly average the probability map of several scales. Then, we use an argmax function for the final ensemble.
By the way, you can find that the multi-scale testing only brings a minor gain for our model. I think simply conducting an averaging operation is not an optimal way for the ensemble.
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Ok, thanks! Looking forward to your code!
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Related Issues (11)
- Help HOT 2
- pretrained weights for the backbone HOT 4
- About correctly loading in pretraining backbone HOT 6
- about the code implementation of distance calculation for matching HOT 3
- 请问Reliable patch pool里面会保存所有过去帧的信息还是只保存第一帧和前一帧的信息? HOT 4
- about the reweighting operation in two modulators HOT 1
- about Shannon entropy HOT 1
- model inference HOT 1
- How Can I setup dataset and .pth path? HOT 2
- Custom testing images - empty reference labels HOT 3
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