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Found 5 papers, 2 papers with code
NocPlace: Nocturnal Visual Place Recognition via Generative and Inherited Knowledge Transfer
Visual Place Recognition (VPR) is crucial in computer vision, aiming to retrieve database images similar to a query image from an extensive collection of known images.
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.
NPR: Nocturnal Place Recognition in Streets
Then we used this model to process existing large-scale VPR datasets to generate the VPR-Night datasets and demonstrated how to combine them with two popular VPR pipelines.
A Convolutional-Transformer Network for Crack Segmentation with Boundary Awareness
And the BAM learns the boundary features from the dilated crack label.
Leveraging Local and Global Descriptors in Parallel to Search Correspondences for Visual Localization
Each of the 2D image points is also called a query local feature when performing the 2D-3D point correspondences.
