pemola
panoptic-segmentation
occlusion
icme-2026
weiwb commited on
Commit
5f80394
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1 Parent(s): 00988f1

Move download instructions above the model table

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  1. README.md +12 -12
README.md CHANGED
@@ -8,18 +8,6 @@ tags:
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  # PEMOLA (ICME 2026)
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- All model checkpoints for **PEMOLA (ICME 2026)**.
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-
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- | Model | Dataset | Weights |
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- | :--- | :--- | :---: |
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- | Mask2Former R50 | COCO-OLAC | [weights](https://huggingface.co/weiwb/PEMOLA/resolve/main/mask2former_coco_olac.pth) |
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- | Mask2Former R50 + PEMOLA | COCO-OLAC | [weights](https://huggingface.co/weiwb/PEMOLA/resolve/main/mask2former_pemola_coco_olac.pth) |
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- | Mask2Former R50 | Cityscapes-OLAC | [weights](https://huggingface.co/weiwb/PEMOLA/resolve/main/mask2former_cityscapes_olac.pth) |
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- | Mask2Former R50 + PEMOLA | Cityscapes-OLAC | [weights](https://huggingface.co/weiwb/PEMOLA/resolve/main/mask2former_pemola_cityscapes_olac.pth) |
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- | Mask DINO R50 | COCO-OLAC | [weights](https://huggingface.co/weiwb/PEMOLA/resolve/main/maskdino_coco_olac.pth) |
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- | Mask DINO R50 + PEMOLA | COCO-OLAC | [weights](https://huggingface.co/weiwb/PEMOLA/resolve/main/maskdino_pemola_coco_olac.pth) |
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- | Occlusion classifier: Swin-L 384 | COCO-OLAC test, black background | [weights](https://huggingface.co/weiwb/PEMOLA/resolve/main/occl_classifier_swin_large_window12_384_coco_olac.pth) |
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-
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  ## Download
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  Download all models from the PEMOLA source repository root:
@@ -36,3 +24,15 @@ hf download weiwb/PEMOLA mask2former_pemola_coco_olac.pth --local-dir checkpoint
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  ```
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  For source code, [installation](https://github.com/wenbo-wei/PEMOLA#installation), and [inference](https://github.com/wenbo-wei/PEMOLA#inference--visualization), see the [PEMOLA GitHub repository](https://github.com/wenbo-wei/PEMOLA).
 
 
 
 
 
 
 
 
 
 
 
 
 
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  # PEMOLA (ICME 2026)
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  ## Download
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  Download all models from the PEMOLA source repository root:
 
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  ```
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  For source code, [installation](https://github.com/wenbo-wei/PEMOLA#installation), and [inference](https://github.com/wenbo-wei/PEMOLA#inference--visualization), see the [PEMOLA GitHub repository](https://github.com/wenbo-wei/PEMOLA).
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+ All model checkpoints for **PEMOLA (ICME 2026)**.
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+
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+ | Model | Dataset | Weights |
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+ | :--- | :--- | :---: |
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+ | Mask2Former R50 | COCO-OLAC | [weights](https://huggingface.co/weiwb/PEMOLA/resolve/main/mask2former_coco_olac.pth) |
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+ | Mask2Former R50 + PEMOLA | COCO-OLAC | [weights](https://huggingface.co/weiwb/PEMOLA/resolve/main/mask2former_pemola_coco_olac.pth) |
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+ | Mask2Former R50 | Cityscapes-OLAC | [weights](https://huggingface.co/weiwb/PEMOLA/resolve/main/mask2former_cityscapes_olac.pth) |
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+ | Mask2Former R50 + PEMOLA | Cityscapes-OLAC | [weights](https://huggingface.co/weiwb/PEMOLA/resolve/main/mask2former_pemola_cityscapes_olac.pth) |
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+ | Mask DINO R50 | COCO-OLAC | [weights](https://huggingface.co/weiwb/PEMOLA/resolve/main/maskdino_coco_olac.pth) |
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+ | Mask DINO R50 + PEMOLA | COCO-OLAC | [weights](https://huggingface.co/weiwb/PEMOLA/resolve/main/maskdino_pemola_coco_olac.pth) |
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+ | Occlusion classifier: Swin-L 384 | COCO-OLAC test, black background | [weights](https://huggingface.co/weiwb/PEMOLA/resolve/main/occl_classifier_swin_large_window12_384_coco_olac.pth) |