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BiRefNet_HR

Image Segmentation
BiRefNet
Safetensors
background-removal
mask-generation
Dichotomous Image Segmentation
Camouflaged Object Detection
Salient Object Detection
pytorch_model_hub_mixin
model_hub_mixin
custom_code
Model card Files
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ZhengPeng7 commited on
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1 Parent(s): f69fb09

Add performance comparison table in README.

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  1. README.md +5 -0
README.md CHANGED
@@ -14,6 +14,11 @@ license: mit
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  > This BiRefNet was trained with images in `2048x2048` for higher resolution inference.
 
 
 
 
 
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  <h1 align="center">Bilateral Reference for High-Resolution Dichotomous Image Segmentation</h1>
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  > This BiRefNet was trained with images in `2048x2048` for higher resolution inference.
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+ ### Performance:
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+ | Dataset | Method | maxFm | wFmeasure | MAE | Smeasure | meanEm | HCE | maxEm | meanFm | adpEm | adpFm | mBA | maxBIoU | meanBIoU |
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+ | :------: | :------: | :------: | :------: | :------: | :------: | :------: | :------: | :------: | :------: | :------: | :------: | :------: | :------: | :------: |
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+ | DIS-VD | BiRefNet_HR-general-epoch_130 | .925 | .894 | .026 | .927 | .952 | 811 | .960 | .909 | .944 | .888 | .828 | .837 | .817 |
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+ | DIS-VD | BiRefNet-general-epoch_244 | .907 | .875 | .033 | .911 | .943 | 1069 | .953 | .892 | .944 | .879 | .000 | .000 | .000 |
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  <h1 align="center">Bilateral Reference for High-Resolution Dichotomous Image Segmentation</h1>
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