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First of all, thank you for sharing the weights of your fully trained models!
I was wondering if you could also share the pre-trained weights of your base feature extractor (DLA-34-Up) that you use at the start of your training. In your paper you state that you use an ImageNet pretrained model for this.
I did find pre-trained weights for DLA-34 which should be similar to DLA-34-Up except for the upsampling, but I'm not quite sure if this is what you meant and used.
It would be great if you could add the DLA-34-Up base model for the feature extractor or maybe add a few words/links to your Readme if the DLA-34 version is what you used.
Thank you
The text was updated successfully, but these errors were encountered:
Hi, thanks so much for the suggestion! The DLA-34 you referenced is exactly what we used. The upsampling parameters are randomly initialized. I have added relevant descriptions in the readme file.
First of all, thank you for sharing the weights of your fully trained models!
I was wondering if you could also share the pre-trained weights of your base feature extractor (DLA-34-Up) that you use at the start of your training. In your paper you state that you use an ImageNet pretrained model for this.
I did find pre-trained weights for DLA-34 which should be similar to DLA-34-Up except for the upsampling, but I'm not quite sure if this is what you meant and used.
It would be great if you could add the DLA-34-Up base model for the feature extractor or maybe add a few words/links to your Readme if the DLA-34 version is what you used.
Thank you
The text was updated successfully, but these errors were encountered: