Statistics for topic image-retrieval
RepositoryStats tracks 524,279 Github repositories, of these 99 are tagged with the image-retrieval topic. The most common primary language for repositories using this topic is Python (76).
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Code to easily try 23 (and growing) different image matching methods
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
Official PyTorch Implementation of Proxy Anchor Loss for Deep Metric Learning, CVPR 2020
Code to easily try 23 (and growing) different image matching methods
[ACM TOMM 2023] - Composed Image Retrieval using Contrastive Learning and Task-oriented CLIP-based Features
Official PyTorch Implementation of Proxy Anchor Loss for Deep Metric Learning, CVPR 2020
Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
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.
Code to easily try 23 (and growing) different image matching methods
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.
[ACM TOMM 2023] - Composed Image Retrieval using Contrastive Learning and Task-oriented CLIP-based Features
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"
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
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.
Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.
Code to easily try 23 (and growing) different image matching methods
[ICLR 2024] Official repository for "Vision-by-Language for Training-Free Compositional Image Retrieval"
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.
Official Pytorch implementation of LinCIR: Language-only Training of Zero-shot Composed Image Retrieval (CVPR 2024)
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.
Official Pytorch implementation of LinCIR: Language-only Training of Zero-shot Composed Image Retrieval (CVPR 2024)
DINO-Mix: Enhancing Visual Place Recognition with Foundational Vision Model and Feature Mixing
Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
Offline semantic Text-to-Image and Image-to-Image search on Android powered by quantized state-of-the-art vision-language pretrained CLIP model and ONNX Runtime inference engine
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"
mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video (ICML 2023)
Automatic download VPR datasets in a standard format