Implementing RepNet(a two-stream multitask learning network) to do vehicle Re-identification, vehicle search(or vehicle match) with PyTorch 可用于车辆细粒度识别，车辆再识别，车辆匹配，车辆检索，RepNet/MDNet的一种PyTorch实现

The 3rd Place Submission to AICity Challenge 2020 Track2

Annotations of key point location and vehicle orientation for VeRi-776 dataset. ICCV'17 paper: Orientation Invariant Feature Embedding and Spatial Temporal Regularization for Vehicle Re-identification.

VehicleX: Simulating Content Consistent Vehicle Datasets with Attribute Descent (ECCV 2020, TPAMI 2023)

Vehicle-Rear: A New Dataset to Explore Feature Fusion For Vehicle Identification Using Convolutional Neural Networks

code for ICCV19 paper "Deep Meta Metric Learning"

【CVPR2024】Magic Tokens: Select Diverse Tokens for Multi-modal Object Re-Identification

Code for Part-Guided Attention Learning for Vehicle Instance Retrieval (TITS2020). A strong Vehicle Re-ID model with part region guidance.

Semantics-guided Part Attention Network (ECCV 2020 Oral)

Vehicle Re-identification

V2ReID: Vision-Outlooker-Based Vehicle Re-Identification

In this project, a novel framework is used from the reference mentioned in the README, which successfully encodes both geometric local features and global representations to distinguish vehicle instances, optimized only by the supervision from official ID labels. Specifically, given the insight that objects in ReID share similar geometric charac…