视觉地点识别
Visual Place Recognition 是计算机视觉领域的一项任务,旨在通过匹配不同时间拍摄的同一地点的不同视图来实现位置识别。该技术在机器人导航、自动驾驶和增强现实等应用中具有重要价值,能够提高系统的环境感知能力和定位精度。
Pittsburgh-30k-test
Patch-NetVLAD
Mapillary val
Patch-NetVLAD
St Lucia
MixVPR
Tokyo247
SelaVPR
Nordland
SelaVPR
Pittsburgh-250k-test
DINOv2 SALAD
Mapillary test
BoQ
17 Places
Baidu Mall
Nardo-Air R
AnyLoc-VLAD-DINO
Gardens Point
Hawkins
Laurel Caverns
Mid-Atlantic Ridge
Nardo-Air
Oxford RobotCar Dataset
VP-Air
AmsterTime
KITTI360pose
MambaPlace
Berlin Kudamm
HEAPUtil
Eynsham
BoQ
SF-XL test v1
EigenPlaces
SF-XL test v2
CosPlace
SPED
CV-Cities
MSLS
ProGEO
Oxford RobotCar (LiDAR 4096 points+RGB)
MinkLoc++ (LiDAR+RGB)
San Francisco Landmark Dataset
BoQ
Inside Out
KITTI
None
SVOX-Night
SVOX-Overcast
SVOX-Rain
SVOX-Snow
SVOX-Sun
VP Air
SegVLAD-PreT (M)