FastReID: A Pytorch Toolbox for General Instance Re-identification

Abstract

General Instance Re-identification is a very important task in the computer vision, which can be widely used in many practical applications, such as person/vehicle re-identification, face recognition, wildlife protection, commodity tracing, and snapshop, etc.. To meet the increasing application demand for general instance re-identification, we present FastReID as a widely used software system in JD AI Research. In FastReID, highly modular and extensible design makes it easy for the researcher to achieve new research ideas. Friendly manageable system configuration and engineering deployment functions allow practitioners to quickly deploy models into productions. We have implemented some state-of-the-art projects, including person re-id, partial re-id, cross-domain re-id and vehicle re-id, and plan to release these pre-trained models on multiple benchmark datasets. FastReID is by far the most general and high-performance toolbox that supports single and multiple GPU servers, you can reproduce our project results very easily and are very welcome to use it, the code and models are available at https://github.com/JDAI-CV/fast-reid.

References in corpus (4)

• Improved Regularization of Convolutional Neural Networks with Cutout
• Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification
• Circle Loss: A Unified Perspective of Pair Similarity Optimization
• Domain Adaptive Attention Learning for Unsupervised Person Re-Identification

Cited by in corpus (20)

• Complementary Pseudo Labels For Unsupervised Domain Adaptation On Person Re-identification
• Cross-Camera Feature Prediction for Intra-Camera Supervised Person Re-identification across Distant Scenes
• Towards a Smaller Student: Capacity Dynamic Distillation for Efficient Image Retrieval
• MMPTRACK: Large-scale Densely Annotated Multi-camera Multiple People Tracking Benchmark
• Pose-guided Inter- and Intra-part Relational Transformer for Occluded Person Re-Identification
• Semi-Supervised Domain Generalizable Person Re-Identification
• Re-identification = Retrieval + Verification: Back to Essence and Forward with a New Metric
• YOLO11-JDE: Fast and Accurate Multi-Object Tracking with Self-Supervised Re-ID
• A Person Re-identification Data Augmentation Method with Adversarial Defense Effect
• Cerberus: Attribute-based person re-identification using semantic IDs
• 2rd Place Solutions in the HC-STVG track of Person in Context Challenge 2021
• Unsupervised Pre-training for Person Re-identification
• Unleashing the Potential of Unsupervised Pre-Training with Intra-Identity Regularization for Person Re-Identification
• Fine-Grained Re-Identification
• Vehicle Re-identification Method Based on Vehicle Attribute and Mutual Exclusion Between Cameras
• The Multi-Modal Video Reasoning and Analyzing Competition
• Video Temporal Relationship Mining for Data-Efficient Person Re-identification
• TraND: Transferable Neighborhood Discovery for Unsupervised Cross-domain Gait Recognition
• Hazy Re-ID: An Interference Suppression Model For Domain Adaptation Person Re-identification Under Inclement Weather Condition
• FlipReID: Closing the Gap between Training and Inference in Person Re-Identification