Comments (14)
Hi, thanks for your interest. We are preparing for the open source and will release both the code and models. Please stay tuned.:)
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For those waiting for the release, check out PerSAM (personalized SAM) which is already open-source, I made 2 tutorial notebooks for it here: https://github.com/NielsRogge/Transformers-Tutorials/tree/master/PerSAM
The Matcher authors do compare against PerSAM in their paper
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Any update? I'm also looking forward to the release!
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Hi,thanks for your great work! when I used the DINOv2 as a backbone, it would give a 1024 embedding as a ouput.But you've written that it will give a tensor with the size of h_w_c. Could you tell me why?
Hi, you can call DinoVisionTransformer.forward_features to get a dict which contains class token and patch tokens. You can refer https://github.com/facebookresearch/dinov2/blob/main/dinov2/models/vision_transformer.py#LL233C22-L233C22 to get more details. :)
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Good work, looking forward to the code and pre-trained models.
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Hi,thanks for your great work! when I used the DINOv2 as a backbone, it would give a 1024 embedding as a ouput.But you've written that it will give a tensor with the size of hwc. Could you tell me why?
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Hi, thanks for your interest. We are preparing for the open source and will release both the code and models. Please stay tuned.:)
加油!
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thanks for the great article
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Great work. Looking forward to the release.
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Hello, could you provide the codes and pre-trained models for testing? I want to test using my own data sets.
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Please tell me there's a relevant announcement date now, really looking forward to it!
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When will it be updated?
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When are you publishing the code?
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The code has been released. Thank you for your attention!
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Related Issues (20)
- Lvis 92-i
- detail about sample point prompt
- When are you releasing the code? HOT 2
- No output images in gardio demo HOT 1
- problem about dataset HOT 2
- problem about the dimension of the query_mask HOT 3
- COCO-20 Dataset Mask Annotation HOT 2
- problem of how to use the Gradio Demo HOT 5
- Windows HOT 1
- VOS Code Release
- The code for training. HOT 1
- Problem about dataset of Pascal-Part HOT 1
- FULL INSTALLATION INSTRUCTIONS with CONDA
- 随机模式
- Semantic segment HOT 1
- Why can't use SAM encoder to get extracted feature? HOT 2
- Patch Level HOT 2
- Questions about the model task: object non-presence, multi-categories and few-shot HOT 2
- Question about forward matching. HOT 1
- Question about k-means++
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