Co4AI

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It seems that self.decoder_track is trained under torch.randn(1).item() > 0.0 condition, self.decoder is trained otherwise. There are two questions: 1. when we train self.decoder, the two part feature maps are...

> > It seems that self.decoder_track is trained under torch.randn(1).item() > 0.0 condition, self.decoder is trained otherwise. There are two questions: > > > > 1. when we train self.decoder,...

close or open 'with_stride' in get priors function may help you

Do you miss exp(box_pred) after conv? This is done in FCOS' forward but YOLOX' post processing.

FCOS use different loss for different box-encoding settings.

@yi-ming-qian Thanks for your wonderful work! I am trying to run this code, but the dataset/models links are broken. Could you share these? My email is [email protected]