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Self-Balanced R-CNN for Instance Segmentation
April 26, 2024, 4:45 a.m. | Leonardo Rossi, Akbar Karimi, Andrea Prati
cs.CV updates on arXiv.org arxiv.org
Abstract: Current state-of-the-art two-stage models on instance segmentation task suffer from several types of imbalances. In this paper, we address the Intersection over the Union (IoU) distribution imbalance of positive input Regions of Interest (RoIs) during the training of the second stage. Our Self-Balanced R-CNN (SBR-CNN), an evolved version of the Hybrid Task Cascade (HTC) model, brings brand new loop mechanisms of bounding box and mask refinements. With an improved Generic RoI Extraction (GRoIE), we also …
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