March 13, 2024, 4:44 a.m. | Xuewei Li, Tao Wu, Zhongang Qi, Gaoang Wang, Ying Shan, Xi Li

cs.LG updates on arXiv.org arxiv.org

arXiv:2306.03403v2 Announce Type: replace-cross
Abstract: As an important and challenging problem in computer vision, PAnoramic Semantic Segmentation (PASS) gives complete scene perception based on an ultra-wide angle of view. Usually, prevalent PASS methods with 2D panoramic image input focus on solving image distortions but lack consideration of the 3D properties of original $360^{\circ}$ data. Therefore, their performance will drop a lot when inputting panoramic images with the 3D disturbance. To be more robust to 3D disturbance, we propose our Spherical …

arxiv cs.ai cs.cv cs.lg cs.mm geometry segmentation semantic transformer type

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