no code implementations • 8 Feb 2023 • Xubo Qin, Xiyuan Liu, Xiongfeng Zheng, Jie Liu, Yutao Zhu
Specifically, when the student models are in cross-encoder architecture, a pairwise loss of hard labels is critical for training student models, whereas the distillation objectives of intermediate Transformer layers may hurt performance.
1 code implementation • 3 Jul 2020 • Jiarong Lin, Xiyuan Liu, Fu Zhang
To improve the system robustness and performance in self-localization and mapping, we develop a decentralized framework for simultaneous calibration, localization and mapping with multiple LiDARs.
Robotics