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title
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Irregular Shape Instance Segmentation
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site name
author
updated
2026-03-04 11:52:33
raw text
iShape datasets Project Page iShape: Irregular Shape Instance Segmentation Lei Yang 1 Ziwei Yan 2 Yisheng He 3 Wei Sun 1 Zhenhang Huang 4 Haikun Zhang 4 Haibin Huang 5 Haoqiang Fan 1 1 Megvii Research Beijing, Megvii Technology Ltd., Beijing, China 2 School of Software, Beihang University, Beijing, China 3 Hong Kong University of Science and Technology, Hong Kong, China 4 Beijing University of Chemical Technology, Beijing, China 5 Kuaishou Technology, Beijing, China A typical scene of objects with irregular shape and similar appearance. It has many characteristics that challenge instance segmentation algorithms, including the large overlaps between bounding boxes of objects, extreme aspect ratios (bounding box of the grey mask), and large numbers of connected components in one instance (green and blue masks). Abstract | Paper | Dataset | Baselines | Benchmark | Misc 1. Abstract In this paper, we introduce a brand...
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