Computer vision researchers develop bilateral reference framework for high-resolution dichotomous image segmentation

A research team has developed a computer vision technique that can perform dichotomous image segmentation, high-resolution salient object detection, and concealed object detection in the same framework. Their novel bilateral reference framework (BiRefNet) is able to capture tiny-pixel features and holds potential for a wide range of practical computer vision applications.

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Computer vision researchers develop bilateral reference framework for high-resolution dichotomous image segmentation

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