Feature Denoising For Low-Light Instance Segmentation Using Weighted Non-Local Blocks

arXiv:2402.18307v1 Announce Type: new
Abstract: Instance segmentation for low-light imagery remains largely unexplored due to the challenges imposed by such conditions, for example shot noise due to low photon count, color distortions and reduced contrast. In this paper, we propose an end-to-end solution to address this challenging task. Based on Mask R-CNN, our proposed method implements weighted non-local (NL) blocks in the feature extractor. This integration enables an inherent denoising process at the feature level. As a result, our method …

abstract arxiv challenges color contrast count cs.cv denoising example feature instance light low noise paper photon segmentation solution type