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            [](https://arxiv.org/abs/2501.06230)
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            [](https://github.com/PramaLLC/BEN/)
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            [](https://backgrounderase.net)
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            ## Overview
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            BEN (Background Erase Network) introduces a novel approach to foreground segmentation through its innovative Confidence Guided Matting (CGM) pipeline. The architecture employs a refiner network that targets and processes pixels where the base model exhibits lower confidence levels, resulting in more precise and reliable matting results.
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            [](https://arxiv.org/abs/2501.06230)
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            [](https://github.com/PramaLLC/BEN/)
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            [](https://backgrounderase.net)
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            [](https://paperswithcode.com/sota/dichotomous-image-segmentation-on-dis-vd?p=ben-using-confidence-guided-matting-for)
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            ## Overview
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            BEN (Background Erase Network) introduces a novel approach to foreground segmentation through its innovative Confidence Guided Matting (CGM) pipeline. The architecture employs a refiner network that targets and processes pixels where the base model exhibits lower confidence levels, resulting in more precise and reliable matting results.
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