Training a customized dataset on fast-reid, evaluation and visualization
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Updated
Aug 30, 2023
Training a customized dataset on fast-reid, evaluation and visualization
Vehicle Re-Identification (ReID) dataset contains over 55,000 images for training and validation of the vehicle re-identification model
Vehicle counting and tracking at intersection modules and ReID pipeline with object detection - > image cropping -> object in cropped image re-identification in another image
vehicle-reid-0001 γη¨γγ¦γVehicle ReIDγθ‘γγ΅γ³γγ«
π₯ The runner-up solution of AICITY Challenge Track2 (Vehicle Re-Identification) at CVPR 2021 Workshop.
AICITY2020 track2 reid open source code.
Repository for 2019 CVPR AI City Challenge Track 2 from IPL@UW
Vehicle Re-identification
Code for Part-Guided Attention Learning for Vehicle Instance Retrieval (TITS2020). A strong Vehicle Re-ID model with part region guidance.
SnP: Large-Scale Training Data Search for Object Re-Identification (CVPR 2023)
γAAAI2024γTOP-ReID: Multi-spectral Object Re-Identification with Token Permutation
OpenVINO Training Extensions Object Re-identification
Vehicle-Rear: A New Dataset to Explore Feature Fusion For Vehicle Identification Using Convolutional Neural Networks
Awesome Vehicle Re-identification
VehicleX: Simulating Content Consistent Vehicle Datasets with Attribute Descent (ECCV 2020, TPAMI 2023)
Reimplementation of Bag of Tricks and A Strong Baseline for Deep Person Re-identification
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.
π The 1st Place Submission to AICity Challenge 2020 re-id track (Baidu-UTS submission)
π the collection of vehicle re-ID papers, datasets. π
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