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Visual Place Recognition
Visual Place Recognition is a task in the field of computer vision that aims to recognize locations by matching different views of the same place taken at different times. This technology is of great value in applications such as robot navigation, autonomous driving, and augmented reality, as it can enhance the environmental perception capabilities and positioning accuracy of systems.
Pittsburgh-30k-test
Patch-NetVLAD
Mapillary val
Patch-NetVLAD
St Lucia
MixVPR
Tokyo247
SelaVPR
Pittsburgh-250k-test
DINOv2 SALAD
Nordland
SelaVPR
Mapillary test
BoQ
Nardo-Air R
AnyLoc-VLAD-DINO
Baidu Mall
17 Places
Oxford RobotCar Dataset
Mid-Atlantic Ridge
Laurel Caverns
Hawkins
VP-Air
Nardo-Air
Gardens Point
KITTI360pose
MambaPlace
AmsterTime
Eynsham
BoQ
SF-XL test v2
CosPlace
Berlin Kudamm
HEAPUtil
SPED
SF-XL test v1
EigenPlaces
San Francisco Landmark Dataset
BoQ
CV-Cities
Oxford RobotCar (LiDAR 4096 points+RGB)
MinkLoc++ (LiDAR+RGB)
MSLS
ProGEO
SVOX-Overcast
KITTI
None
SVOX-Night
SVOX-Snow
SVOX-Rain
SVOX-Sun
VP Air
SegVLAD-PreT (M)
Inside Out