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EntitySeg Toolbox: Towards Open-World and High-Quality Image Segmentation
Hi! I wonder how many and what kinds of GPUs did you use in UniGS? How long does the training process take? Thanks!
Hi,I am interested in your this paper, but I have some question. Can you explain the pseudo-label dataset generation stage? How to calculated the score of any prediction and (constant)score...
Thanks for your work。Can the Cropformer-Swin model be converted to tensorRT? How can I improve the speed of predict? I am currently testing 50 images using NVIDIA GeForce RTX 3090,...
作者您好: 很高兴看到您的UniGS论文被cvpr 2024接收,我对您这篇工作比较好奇和感兴趣,特别生成和分割统一表示的部分以及之前您做过的高质量分割,请问啥时候可以开源下代码~
Hello, thanks for your great work! I have a question about the model parameter amount of the CRM model. You declared in your paper that the params are 9.27M. ...
Hi, in UniGS, you used SAM for entity segmentation. As for SAM auto mask generation mode, the output masks will have overlapping areas. May I ask how to deal with...
Hello, may I ask when the code for the article 'UniGS: Unified Representation for Image Generation and Segmentation (Arxiv)' will be released?
I have a doubt related to how you have trained the model for semantic segmentation. Have you used the images high res or low res, since the annotations for this...