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layumi
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Description

:red_car: the collection of vehicle re-ID papers, datasets. :red_car:

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Vehicle Re-ID Collection

Code

:red_car: The 1st Place Submission to AICity Challenge 2020 re-id track (CVPR 2020 workshop) [code] [paper]

:helicopter: Drone-based building re-id (ACM Multimedia 2020) [code] [paper]

Dataset

  1. VeRi-776

    project paper

49,357 images of 776 vehicles from 20 cameras. Like Market-1501 protocol.

The VeRi dataset is divided into a training subset containing 37,781 images of 576 subjects and a testing subset with 13,257 images of 200 subjects.then a query set containing 1,678 images of 200 subjects and a gallery including 11,579 image of 200 subjects are finally obtained.

  1. PKU Vehicle-ID

    project pdf

221,763 images of 2,627 vehicles. Only two camera views??

  1. PKU-VD

    project pdf

with attribute.

  1. VehicleReID

    project pdf

47,123 images from two cameras & lablled on pair.

  1. PKU-Vehicle

    project paper

no ID lablled.

  1. CompCars

    project pdf

136,726 + 27,618 images of 1,716 cars with attributes. After crop, 136,713.

  1. StanfordCars

    project pdf

16,185 images of 196 classes.

  1. Vehicle-1M

    project pdf

  2. VERI-Wild

project

Recent Papers

2020

  1. VehicleNet: Learning Robust Visual Representation for Vehicle Re-identification (TMM) arXiv [中文介绍]

  2. Beyond the Parts: Learning Multi-view Cross-part Correlation for Vehicle Re-identification (ACM MM) paper code

2019

  1. VR-PROUD: Vehicle Re-identification using PROgressive Unsupervised Deep architecture (PR) paper

  2. Embedding Adversarial Learning for Vehicle Re-Identification (TIP) paper

  3. Vehicle Re-Identification Using Quadruple Directional Deep Learning Features (TITS) pdf

  4. VehicleNet: Learning Robust Feature Representation for Vehicle Re-identification (CVPR workshop) paper

  5. Part-regularized Near-duplicate Vehicle Re-identification (CVPR) pdf

2018

  1. Viewpoint-aware Attentive Multi-view Inference for Vehicle Re-identification (CVPR) pdf

  2. Unsupervised Vehicle Re-Identification using Triplet Networks (CVPR workshop) pdf

  3. Vehicle Re-Identification with the Space-Time Prior (CVPR workshop) pdf

  4. Fast vehicle identification via ranked semantic sampling based embedding (IJCAI) pdf

  5. Vehicle re-identification by deep hidden multi-view inference (TIP) paper

  6. Ram: a region-aware deep model for vehicle re-identification (ICME) pdf

  7. Learning Coarse-to-Fine Structured Feature Embedding for Vehicle Re-Identification (AAAI) pdf

  8. PROVID- Progressive and Multimodal Vehicle Reidentification for Large-Scale Urban Surveillance (TMM) paper

  9. Group Sensitive Triplet Embedding for Vehicle Re-identification (TMM) paper

  10. VP-ReID: vehicle and person re-identification system (ACMMM) paper

  11. Vehicle Re-Identification by Adversarial Bi-Directional LSTM Network (WACV) paper

  12. Joint Semi-supervised Learning and Re-ranking for Vehicle Re-identification ICPR paper

  13. Multi-Attribute Driven Vehicle Re-Identification with Spatial-Temporal Re-Ranking ICIP paper

  14. Joint feature and similarity deep learning for vehicle re-identification IEEE Access paper

    2017

  15. Orientation Invariant Feature Embedding and Spatial Temporal Regularization for Vehicle Re-Identification (ICCV) pdf

  16. Learning Deep Neural Networks for Vehicle Re-ID With Visual-Spatio-Temporal Path Proposals (ICCV) pdf

  17. Exploiting Multi-Grain Ranking Constraints for Precisely Searching Visually-similar Vehicles (ICCV) pdf

  18. Improving triplet-wise training of convolutional neural network for vehicle re-identification (ICME) paper

  19. Deep hashing with multi-task learning for large-scale instance-level vehicle search (ICME workshop) paper

  20. Multi-modal metric learning for vehicle re-identification in traffic surveillance environment (ICIP) paper

  21. Vehicle re-identification by fusing multiple deep neural networks (IPTA) paper

  22. Beyond human-level license plate super-resolution with progressive vehicle search and domain priori GAN (ACMMM) paper

    2016

  23. Vehicle Re-Identification for Automatic Video Traffic Surveillance (CVPR workshop) pdf

  24. Deep Relative Distance Learning- Tell the Difference Between Similar Vehicles (CVPR) pdf

  25. A Deep Learning-Based Approach to Progressive Vehicle Re-identification for Urban Surveillance (ECCV) paper

  26. Large-Scale Vehicle Re-Identification in Urban Surveillance Videos (ICME) pdf

Reference

  • https://github.com/bismex/Awesome-vehicle-re-identification
  • https://github.com/knwng/awesome-vehicle-re-identification

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