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What is Extreme Point-Based Instance Segmentation about?

This paper presents a novel method for instance segmentation called EXITS, which utilizes extreme points from bounding box annotations to improve segmentation performance while reducing annotation costs. By treating extreme points as part of the true instance mask, the method generates high-quality pseudo labels that enhance the training of segmentation models. The approach has demonstrated significant improvements over existing box-supervised methods on multiple public benchmarks, particularly in scenarios

Author

anniedang.pu

Language

EN