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Comments (7)

xg-chu avatar xg-chu commented on August 11, 2024

So far, we haven't tried the method on one-stage method.

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wyf-1996 avatar wyf-1996 commented on August 11, 2024

please where should I add the loss if I want to modify it on the one-stage model?

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xg-chu avatar xg-chu commented on August 11, 2024

Maybe you can try to let the anchor boxes predict multiple predictions.

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xg-chu avatar xg-chu commented on August 11, 2024

I'll try to implement a one-stage version based on RetinaNet and update the code if it works.
I think how to combine the Emd Loss and Focal Loss is the key to solve the problem.

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Angzz avatar Angzz commented on August 11, 2024

thx, hope your results.

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xg-chu avatar xg-chu commented on August 11, 2024

Applying emd loss to the Retinanet can also have gain in all evaluation indicators.
The result of a simple Retinanet version is as follows, and the code will be released soon.
retina_fpn
mAP:0.8180, mMR:0.5619, JI:0.7312
retina_emd
mAP:0.8303, mMR:0.5537, JI:0.7370

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xg-chu avatar xg-chu commented on August 11, 2024

The new code include the Retinanet implementation.

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