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Found 4 papers, 4 papers with code
BoQ: A Place is Worth a Bag of Learnable Queries
In visual place recognition, accurately identifying and matching images of locations under varying environmental conditions and viewpoints remains a significant challenge.
MixVPR: Feature Mixing for Visual Place Recognition
It refers to the process of identifying a place depicted in a query image using only computer vision.
Ranked #2 on
Visual Place Recognition
on SPED
Global Proxy-based Hard Mining for Visual Place Recognition
These proxy representations are thus used to construct a global index that encompasses the similarities between all places in the dataset, allowing for highly informative mini-batch sampling at each training iteration.
Ranked #5 on
Visual Place Recognition
on Nordland
GSV-Cities: Toward Appropriate Supervised Visual Place Recognition
This paper aims to investigate representation learning for large scale visual place recognition, which consists of determining the location depicted in a query image by referring to a database of reference images.
Ranked #5 on
Visual Place Recognition
on Pittsburgh-250k-test
