5 papers
Learning from Mistakes: Loss-Aware Memory Enhanced Continual Learning for LiDAR Place Recognition
Xufei Wang, Junqiao Zhao, Siyue Tao +3
LiDAR place recognition plays a crucial role in SLAM, robot navigation, and autonomous driving. However, existing LiDAR place recognition methods often struggle to adapt to new env…
Efficient Feedback Gate Network for Hyperspectral Image Super-Resolution
Xufei Wang, Mingjian Zhang, Fei Ge +7
Even without auxiliary images, single hyperspectral image super-resolution (SHSR) methods can be designed to improve the spatial resolution of hyperspectral images. However, failin…
Ranking-aware Continual Learning for LiDAR Place Recognition
Xufei Wang, Gengxuan Tian, Junqiao Zhao +4
Place recognition plays a significant role in SLAM, robot navigation, and autonomous driving applications. Benefiting from deep learning, the performance of LiDAR place recognition…
Frequency-Integrated Transformer for Arbitrary-Scale Super-Resolution
Xufei Wang, Fei Ge, Jinchen Zhu +3
Methods based on implicit neural representation have demonstrated remarkable capabilities in arbitrary-scale super-resolution (ASSR) tasks, but they neglect the potential value of…
MutualVPR: A Mutual Learning Framework for Resolving Supervision Inconsistencies via Adaptive Clustering
Qiwen Gu, Xufei Wang, Junqiao Zhao +4
Visual Place Recognition (VPR) enables robust localization through image retrieval based on learned descriptors. However, drastic appearance variations of images at the same place…