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Instance Segmentation
Instance Segmentation is a computer vision task that involves identifying and separating individual objects within an image, including detecting the boundaries of each object and assigning a unique label to each object. The goal of instance segmentation is to produce a pixel-wise segmentation map of the image, where each pixel is assigned to a specific object instance.
Image Credit: Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers, CVPR'21
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108개COCO test-devCOCO minivalRefCoCo valRefCOCO+ valRefer-YouTube-VOS (2021 public validation)ScanNet(v2)RefCOCO+ test BRefCOCO+ testAA2D SentencesLVIS v1.0 valRefCOCOg-valMSCOCOJ-HMDBS3DISDAVIS 2017 (val)OCHumanRefCOCOg-testCityscapes valADE20K valPASCAL VOC 2012 valRefCOCO testARefCOCO testBgRefCOCOClevrTexCityscapes testDAVIS 2016STPLS3DSegTrack-v2ARMBenchCOCO test-dev