The Python SDK for the Pit30M large scale visual localization dataset.
Multiview matching with deep-learning and hand-crafted local features for COLMAP and other SfM software. Supports high-resolution formats and images with rotations. Both CLI and GUI are supported.
This is the official repo for Densely-Anchored Sampling for Deep Metric Learning (ECCV 22).
Cross-Sensor Masked Autoencoder for Content Based Image Retrieval in Remote Sensing
Automatic download VPR datasets in a standard format
SmartTourism: Enhance your travel experience with image recognition on Android. Discover monument guides and categories. Create customized guides easily.
GSV-Cities: a dataset and framework for visual place recognition
[NeurIPS 2021] Official implementation of the paper "One Loss for All: Deep Hashing with a Single Cosine Similarity based Learning Objective"
This is a final project for the course: Mathematical Image Analysis.
PyTorch implementation of Dark Side Augmentation
CNN Image Retrieval in PyTorch: Training and evaluating CNNs for Image Retrieval in PyTorch
[TIP2024] The code of “Deep Boosting Learning: A Brand-new Cooperative Approach for Image-Text Matching”
HyperTag - Intuitive Knowledge Management WebApp & CLI for Humans using Deep Learning & Tags
ACM Multimedia2020 University-1652: A Multi-view Multi-source Benchmark for Drone-based Geo-localization 🚁 annotates 1652 buildings in 72 universities around the world.
DINO-Mix: Enhancing Visual Place Recognition with Foundational Vision Model and Feature Mixing
Visual localization made easy with hloc
⛹️ Pytorch ReID: A tiny, friendly, strong pytorch implement of person re-id / vehicle re-id baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial
SpatialVisVR is a VR platform tailored for advanced visualization and analysis of medical images in immuno-oncology. It allows real-time capture and comparison of mIF and mIHC images via mobile devices. Leveraging deep learning, it matches and displays similar images, supporting up to 100 protein channels.
[CVPR' 24] The official implementation of paper "synthesize, diagnose, and optimize: towards fine-grained vision-language understanding"
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