Comments (1)
yangliu96
commented on June 2, 2024
Thanks for your interest.
Matcher is a one-shot segmentation framework based on the vision foundation models (DINOv2 and SAM), and the semantic information of the segment results is consistent with the semantic categories provided by the reference. This is similar to in-context learning used by SegGPT (https://github.com/baaivision/Painter/tree/main/SegGPT). The all-purposed visual features extraction model, DINOv2, makes up for SAM's lack of semantic information.
We are organizing the source code. It will be very soon. Please stay tuned.:)
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Related Issues (20)
- 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++
- 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
- ιζΊζ¨‘εΌ
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