Pytorch implementation of convolutional neural network visualization techniques

Datasets for deep learning with satellite & aerial imagery

UAV-VisLoc: A Large-scale Dataset for UAV Visual Localization

NetVLAD: CNN architecture for weakly supervised place recognition

GNSS-Free drone navigation and localization in the wild

Automatic download VPR datasets in a standard format

Provide mapping and localization pipelines based on kapture format

This repository contains the codebase and all the relevant information for our IJCV paper on VPR-Bench: An open-source Visual Place Recognition Evaluation Framework

OpenSeqSLAM2 is a MATLAB toolbox for interactively exploring the visual place recognition problem.

kapture is a file format as well as a set of tools for manipulating datasets, and in particular Visual Localization and Structure from Motion data.

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

A personal list of papers and resources of image matching and pose estimation, including perspective images and panoramas.

[CVPR 2024 Highlight] Map-Relative Pose Regression for Visual Re-Localization

[CVPR 2022 Oral, Best Student Paper] EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation

[CVPR 2024] Probing the 3D Awareness of Visual Foundation Models

[CVPR 2024] Unleashing Unlabeled Data: A Paradigm for Cross-View Geo-Localization

H2RSVLM: Towards Helpful and Honest Remote Sensing Large Vision Language Model

Official code of Remote Sensing Mamba

Attention \ Saliency maps and features visualization for deep learning models in pytorch

同济子豪兄的公开课

[ICLR'24] Matcher: Segment Anything with One Shot Using All-Purpose Feature Matching

PyTorch code and models for the DINOv2 self-supervised learning method.

AnyLoc: Universal Visual Place Recognition (RA-L 2023)

SNAP: Self-supervised Neural Maps for Visual Positioning and Semantic Understanding (NeurIPS 2023)

SNAP: Self-supervised Neural Maps for Visual Positioning and Semantic Understanding (NeurIPS 2023)

[AAAI 2022] The code release of paper "AAAI Low-Light Image Enhancement with Normalizing Flow"

a paper list of visual re-localization algorithms