fushh

Results 7 issues of fushh

Thanks for your great work! As mentioned in Appendix D.1, > Considering that the number of objects in one image in COCO dataset ranges from 1 to 80, this design...

Hi~ Thanks for your excellent work. I still have some questions about the once-for-all property that needs to be explained in the paper. In terms of progressive refinement, I assume...

In Object Centric OVD, the authors use the checkpoint trained from a subset of LMDet which has no overlap with any of the evaluation datasets. However, it seems that the...

Thanks for the great work! In the paper, the authors use MViT to extract high-quality class-specific proposals using image-level labels based on its great generalization ability. Thus, a straightforward idea...

Can you provide the checkpoint and config on ov-coco dataset for academic usage?

I notice that you have used SlimConv in MobileNet V2. But I confuse that how to replace DepthConv3*3 with SlimConv. Looking forward to your reply.

Thanks for great work! BARON uses ResNet50-FPN as backbone when using CLIP as supervision, but uses ResNet50-C4 as backbone when using captions as supervision. I'm curious about why using different...