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Hunan University, Yanmei Zou, Hongshan Yu, Yaonan Wang and Kailun Yang are with the School of Artificial Intelligence and Robotics, Quanzhou Institute of Industrial Design and Machine Intelligence Innovation, Hunan University, Changsha 410082, China. (Yanmei Zou and Hongshan Yu contributed equally to this work. Hongshan Yu is the corresponding author. email: zouyanmei@hnu.edu.cn, yuhongshancn@hotmail.com, yaonan@hnu.edu.cn, kailun.yang@hnu.edu.cn) Zhengeng Yang is with the College of Engineering and Design, Hunan Normal University, Changsha 410081, China. (email: yzg050215@163.com). Xieyuanli Chen is with the College of Intelligence Science and Technology, National University of Defense Technology, Changsha 410073, China. Naveed Akhtar is with the School of Computing and Information Systems, The University of Melbourne, 3052 Victoria, Australia. (email: naveed.akhtar1@unimelb.edu.au)
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Achieve state-of-the-art panoramic segmentation by training on local perspective views and generalizing to full 360掳 images, even with geometric distortions and unseen classes.
Achieve state-of-the-art 3D occupancy prediction by unifying geometric, semantic, and textual information within a novel omnidirectional framework.