⛹️ 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
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Updated
Jul 2, 2024 - Python
⛹️ 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
ACM Multimedia2020 University-1652: A Multi-view Multi-source Benchmark for Drone-based Geo-localization 🚁 annotates 1652 buildings in 72 universities around the world.
Code to easily try 23 (and growing) different image matching methods
Official repository of ICCV 2021 - Image Retrieval on Real-life Images with Pre-trained Vision-and-Language Models
This Telegram Bot can tell the anime when you send an screenshot to it
[CVPR 2024] The official implementation of paper "synthesize, diagnose, and optimize: towards fine-grained vision-language understanding"
Official Pytorch implementation of LinCIR: Language-only Training of Zero-shot Composed Image Retrieval (CVPR 2024)
Image keyword spotting (KWS) system for handwritten documents that utilizes quaternion-analysis based methods to create a parameters-efficient network. It works as a tool to retrieve scanned pages from a collection containing a specific query word.
[CVPRW2024 FGVC11 (Best paper award)] Official pytorch implementation of the paper: "ConceptHash: Interpretable Fine-Grained Hashing via Concept Discovery"
Utilizing CLIP Architecture for Efficient Image Retrieval: Seamlessly Find Similar Images or Retrieve Images from Textual Queries
"FORB: A Flat Object Retrieval Benchmark for Universal Image Embedding", NeurIPS 2023 Datasets and Benchmarks Track
The Python SDK for the Pit30M large scale visual localization dataset.
GSV-Cities: a dataset and framework for visual place recognition
[TIP2024] The code of “Deep Boosting Learning: A Brand-new Cooperative Approach for Image-Text Matching”
SmartTourism: Enhance your travel experience with image recognition on Android. Discover monument guides and categories. Create customized guides easily.
Easily download and evaluate pre-trained Visual Place Recognition methods. Code built for the ICCV 2023 paper "EigenPlaces: Training Viewpoint Robust Models for Visual Place Recognition"
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.
SOTA Re-identification Methods and Toolbox
Official code for CVPR 2022 paper "Rethinking Visual Geo-localization for Large-Scale Applications"
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