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[ICLR'24] Matcher: Segment Anything with One Shot Using All-Purpose Feature Matching
作者,您好!!不好意思打扰了,,我想向你请教一个问题: 对于每个数据集,output拥有fold 0,fold 1等,这些文件夹对应着怎样的随机模式?
 hello, i followed the introduction and run the app.py, but it went wrong when i open the browser and use the demo.
 I can not obtain the file 'all_obj_part_to_image.json', could you tell me how can I achieve it?
When will you release the code for training?
Hi, thanks for the great work and code! I want to try it on VOS tasks, but that part of code is not released for now. Could we expect the...
 hello, what is the dimension of the query_mask here ,torch.size(3, 518, 518) or torch.size(518, 518)
Windows
作者您好!请问可以在Windows系统上用Anaconda部署吗,我看安装说明里面只说了Linux和mac。谢谢!
Have you try directly use SAM encoder to extract feature instead use other pretrained model?
作者您好,想请教几个问题。 1.论文里似乎只提到对于三种level有不同的采样的策略,但具体是怎么采样的似乎没有提及。请问可以展开说说吗? 2.关于kmeans++的cluster center数量似乎也没有明确,请问可以说说相关的选择策略吗? 3.图1中,输入point+box prompt后SAM似乎有多个mask proposals,sam中默认mult_mask_outputs的数量是3,请问你们是设置了多少?
Thank you for very inspiring work! Our research group especially thinks that creation of new, demanding few shot dataset is a great idea. As we would like to use this...