computer-vision-20
Universal Segmentation
3260 papers • 126 benchmarks • 313 datasets
Universal segmentation is a challenging computer vision task that aims to segment images into semantic regions, regardless of the task or the domain. It requires the model to learn a wide range of visual concepts and to be able to generalize to new tasks and domains.
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2 papers 128,631
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