Statistics for topic image-retrieval
RepositoryStats tracks 634,544 Github repositories, of these 121 are tagged with the image-retrieval topic. The most common primary language for repositories using this topic is Python (92).
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:bouncing_ball_person: 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/...
HuixiangDou: Overcoming Group Chat Scenarios with LLM-based Technical Assistance
A powerful baseline for image classification, face recognition and image retrieval with Pytorch
Torchreid: Deep learning person re-identification in PyTorch.
A powerful baseline for image classification, face recognition and image retrieval with 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.
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
HuixiangDou: Overcoming Group Chat Scenarios with LLM-based Technical Assistance
:bouncing_ball_person: 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/...
:bouncing_ball_person: 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/...
Torchreid: Deep learning person re-identification in PyTorch.
A powerful baseline for image classification, face recognition and image retrieval with Pytorch
This is the implement of the paper "DynamicVis: An Efficient and General Visual Foundation Model for Remote Sensing Image Understanding"
A powerful baseline for image classification, face recognition and image retrieval with Pytorch
A framework to easily use 32 (and growing) different image matching methods
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
mPLUG-2: A Modularized Multi-modal Foundation Model Across Text, Image and Video (ICML 2023)
This is the implement of the paper "DynamicVis: An Efficient and General Visual Foundation Model for Remote Sensing Image Understanding"
HuixiangDou: Overcoming Group Chat Scenarios with LLM-based Technical Assistance
A powerful baseline for image classification, face recognition and image retrieval with Pytorch
Torchreid: Deep learning person re-identification in PyTorch.
This is the implement of the paper "DynamicVis: An Efficient and General Visual Foundation Model for Remote Sensing Image Understanding"
This is the implement of the paper "DynamicVis: An Efficient and General Visual Foundation Model for Remote Sensing Image Understanding"
A powerful baseline for image classification, face recognition and image retrieval with Pytorch
D3still: A benchmark asymmetric image retrieval library based on knowledge distillation.
[ICLR 2025] - Cross the Gap: Exposing the Intra-modal Misalignment in CLIP via Modality Inversion
Code release for Revisit Anything: Visual Place Recognition via Image Segment Retrieval (ECCV 2024)
CLIP-Finder enables semantic offline searches of images from gallery photos using natural language descriptions or the camera. Built on Apple's MobileCLIP-S0 architecture, it ensures optimal performan...
Official PyTorch implementation of the WACV 2025 Oral paper "Composed Image Retrieval for Training-FREE DOMain Conversion".
HuixiangDou: Overcoming Group Chat Scenarios with LLM-based Technical Assistance
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
Towhee is a framework that is dedicated to making neural data processing pipelines simple and fast.
A framework to easily use 32 (and growing) different image matching methods
Code release for Revisit Anything: Visual Place Recognition via Image Segment Retrieval (ECCV 2024)
CLIP-Finder enables semantic offline searches of images from gallery photos using natural language descriptions or the camera. Built on Apple's MobileCLIP-S0 architecture, it ensures optimal performan...
This is the implement of the paper "DynamicVis: An Efficient and General Visual Foundation Model for Remote Sensing Image Understanding"
VLAD-BuFF: Burst-aware Fast Feature Aggregation for Visual Place Recognition (ECCV 2024)