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Found 3 papers, 3 papers with code
Deep Homography Estimation for Visual Place Recognition
Moreover, we design a re-projection error of inliers loss to train the DHE network without additional homography labels, which can also be jointly trained with the backbone network to help it extract the features that are more suitable for local matching.
Towards Seamless Adaptation of Pre-trained Models for Visual Place Recognition
Experimental results show that our method outperforms the state-of-the-art methods with less training data and training time, and uses about only 3% retrieval runtime of the two-stage VPR methods with RANSAC-based spatial verification.
Ranked #1 on
Visual Place Recognition
on Nordland
AANet: Aggregation and Alignment Network with Semi-hard Positive Sample Mining for Hierarchical Place Recognition
Here we propose a Dynamically Aligning Local Features (DALF) algorithm to align the local features under spatial constraints.
