gmberton/VPR-methods-evaluation
Easily download and evaluate pre-trained Visual Place Recognition methods. Code built for the ICCV 2023 paper "EigenPlaces: Training Viewpoint Robust Models for Visual Place Recognition"
Python
Stargazers
- aleshem
- alphonse-CHEN
- ArneSchulzTUBSTU Braunschweig
- banxiyan
- BinuxLiuSUSTech
- chenshunpeng
- dz306271098University of Electronic Science and Technology of China
- elebossThe University of Hong Kong
- Enrico-Chiavassa
- fanjing8
- fentuoli
- fly51flyPRIS
- GONGXI1994
- hit2sjtu
- HqiTaoSUSTech
- ionLiUniversity of Chinese Academy of Sciences
- jingyang-huangZJU
- jinxxo-j
- kajo-kurisuUESTC
- lus6-JennyZhejiang University
- MaverickPeterZhejiang University
- michalwolsNew York
- ming-gray
- nezihkasim
- pscyber
- richard7714Inha university
- serdaryildizIstanbul
- shankar-anantak
- ShiaomingBUAA, NUS
- simutisernestasDTU
- TouchDeeperSouth China University of Technology
- VincentqywTHU
- wang08-wqno
- wolf943134497
- xushangnjlhTencent XR Vision Labs
- zhangpingruiShanghai AI lab