Closed xiaoachen98 closed 2 years ago
Hi, thanks for your interest in our work. We didn't test dilated backbones because we want to keep the pre-trained CLIP backbones unchanged. Since our method largely relies on the pre-trained correlation between visual and text embeddings, modifying the backbone to a dilated version may make the initial pixel-text score maps inaccurate.
Thanks for your quick reply! I will try the effect of using dilated backbone.
You present in the paper only the results related to Semantic FPN.
Have you conducted any relevant experiments based on dilated backbone methods (e.g. DeepLabV3+)?
Is the reason for not using dilated backbone-based methods that you are looking for fewer FLOPs or have you found that the results are not good?