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BiCC: Bidirectional Connected-Component Loss for Instance-Aware Segmentation

Paper recorded by Signals 4 on 2026-09-24 in cs.CV. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-24 on arXiv · recorded by Signals 4 on 2026-09-25

Category: cs.CV · 计算机视觉 · first seen 2026-09-25

Abstract

Common segmentation losses aggregate errors voxel-wise, so lesions influence the objective in proportion to their volume, giving small but clinically critical lesions disproportionately little weight. Instance-aware losses aim to address this mismatch by assigning each lesion its own term. However, blob loss and CC-DiceCE derive their regions solely from annotations, so false-positive components r

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#3 most recent of 313 cs.CV papers we have recorded · ↑ newer: OmniFabric: Coherent UV Space Texture Synthesis for 3D Garment Reconst · ↓ older: WanPE: Towards Cinematic Prompt Enhancement for Modern Text-to-Video G
Cite this page: BiCC: Bidirectional Connected-Component Loss for Instance-Aware Segmentation: the #3 most recent of 313 cs.CV papers we have recorded (as of 2026-09-24). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/bicc-bidirectional-connected-component-loss-for-instance-aware-segmentation.html
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