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pro vyhledávání: '"Bandaru, Rohan"'
Autor:
Wang, Chen, Gao, Dasong, Xu, Kuan, Geng, Junyi, Hu, Yaoyu, Qiu, Yuheng, Li, Bowen, Yang, Fan, Moon, Brady, Pandey, Abhinav, Aryan, Xu, Jiahe, Wu, Tianhao, He, Haonan, Huang, Daning, Ren, Zhongqiang, Zhao, Shibo, Fu, Taimeng, Reddy, Pranay, Lin, Xiao, Wang, Wenshan, Shi, Jingnan, Talak, Rajat, Cao, Kun, Du, Yi, Wang, Han, Yu, Huai, Wang, Shanzhao, Chen, Siyu, Kashyap, Ananth, Bandaru, Rohan, Dantu, Karthik, Wu, Jiajun, Xie, Lihua, Carlone, Luca, Hutter, Marco, Scherer, Sebastian
Publikováno v:
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
Deep learning has had remarkable success in robotic perception, but its data-centric nature suffers when it comes to generalizing to ever-changing environments. By contrast, physics-based optimization generalizes better, but it does not perform as we
Externí odkaz:
http://arxiv.org/abs/2209.15428