/Awesome-vehicle-re-identification

Awesome Vehicle Re-identification

Awesome Vehicle Re-identification Awesome

This is a repository for organizing articles related to person re-identification. Most papers are linked to the pdf address provided by "arXiv" or "Openaccess". However, some papers require an academic license to browse. For example, IEEE, springer, and elsevier journal, etc.

Other awesome re-identification

People who meet the following criteria are free to request a pull (pull request).

  • Suggestions for new categories
  • Changes to categories for some articles
  • Corrections to the statistical tables
  • Additions of a summary or performance

1. Dataset and benchmark

  • [StanfordCars] 3D Object Representations for Fine-Grained Categorization (ICCV 2013) [paper]
  • [CompCars] A Large-Scale Car Dataset for Fine-Grained Categorization and Verification (CVPR 2015) [paper]
  • [VeRi-776] A Deep Learning-Based Approach to Progressive Vehicle Re-identification for Urban Surveillance (ECCV 2016) [paper]
  • [VehicleReId] Vehicle Re-Identification for Automatic Video Traffic Surveillance (CVPR 2016) [paper]
  • [PKU-VehicleID] Deep Relative Distance Learning: Tell the Difference Between Similar Vehicles (CVPR 2016) [paper]
  • [PKU-VD] Exploiting Multi-Grain Ranking Constraints for Precisely Searching Visually-similar Vehicles (ICCV 2017) [paper]
  • [PKU-Vehicle] Group-Sensitive Triplet Embedding for Vehicle Reidentification (TMM 2018) [paper]
  • [Vehicle-1M] Learning Coarse-to-Fine Structured Feature Embedding for Vehicle Re-Identification (AAAI 2018) [paper]
  • [VRIC] Vehicle Re-Identification in Context (GCPR 2018) [paper]
  • [VERI-Wild] A Large Dataset and a New Method for Vehicle Re-Identification in the Wild (CVPR 2019) [paper]
  • [CityFlow] A City-Scale Benchmark for Multi-Target Multi-Camera Vehicle Tracking and Re-Identification (CVPR 2019) [paper]
  • [VehicleX] PAMTRI: Pose-Aware Multi-Task Learning for Vehicle Re-Identification Using Highly Randomized Synthetic Data (ICCV 2019) [paper]
  • [VRAI] Vehicle Re-identification in Aerial Imagery: Dataset and Approach (ICCV 2019) [paper]
  • [VehicleX] Simulating Content Consistent Vehicle Datasets with Attribute Descent (ECCV 2020) [paper]

2. Conference

2016

  • Large-Scale Vehicle Re-identification in Urban Surveillance Videos (ICME 2016) [paper]
  • A Deep Learning-Based Approach to Progressive Vehicle Re-identification for Urban Surveillance (ECCV 2016) [paper]

2017

  • Vehicle Re-identification by Fusing Multiple Deep Neural Networks (IPTA 2017) [paper]
  • Beyond Human-level License Plate Super-resolution with Progressive Vehicle Search and Domain Priori GAN (ACMMM 2017) [paper]
  • Multi-modal Metric Learning for Vehicle Re-identification in Traffic Surveillance Environment (ICIP 2017) [paper]
  • Improving Triplet-wise Training of Convolutional Neural Network for Vehicle Re-identification (ICME 2017) [paper]
  • Cross-View GAN Based Vehicle Generation for Re-identification (BMVC 2017) [paper]
  • Learning Deep Neural Networks for Vehicle Re-ID With Visual-Spatio-Temporal Path Proposals (ICCV 2017) [paper]
  • Orientation Invariant Feature Embedding and Spatial Temporal Regularization for Vehicle Re-Identification (ICCV 2017) [paper] [github]

2018

  • RAM: A Region-Aware Deep Model for Vehicle Re-identification (ICME 2018) [paper] [github]
  • Multi-Attribute Driven Vehicle Re-Identification with Spatial-Temporal Re-Ranking (ICIP 2018) [paper]
  • Joint Semi-supervised Learning and Re-ranking for Vehicle Re-identification (ICPR 2018) [paper]
  • VP-ReID: vehicle and person re-identification system (ICMR 2018) [paper]
  • Vehicle re-identification by adversarial bi-directional LSTM network (WACV 2018) [paper]
  • Fast Vehicle Identification via Ranked Semantic Sampling based Embedding (IJCAI 2018) [paper]
  • Viewpoint-Aware Attentive Multi-View Inference for Vehicle Re-Identification (CVPR 2018) [paper] [github]

2019

  • Part-Regularized Near-Duplicate Vehicle Re-Identification (CVPR 2019) [paper]
  • A Dual-Path Model With Adaptive Attention for Vehicle Re-Identification (ICCV 2019) [paper] [github]
  • Vehicle Re-Identification With Viewpoint-Aware Metric Learning (ICCV 2019) [paper]

2020

  • The Devil is in the Details: Self-Supervised Attention for Vehicle Re-Identification (ECCV 2020) [paper]
  • Orientation-aware Vehicle Re-identification with Semantics-guided Part Attention Network (ECCV 2020) [paper]
  • Parsing-Based View-Aware Embedding Network for Vehicle Re-Identification (CVPR 2020) [paper]
  • Disentangled Feature Learning Network for Vehicle Re-Identification (IJCAI 2020) [paper]

2021

  • PhD Learning: Learning With Pompeiu-Hausdorff Distances for Video-Based Vehicle Re-Identification (CVPR 2021) [paper]
  • Self-Supervised Geometric Features Discovery via Interpretable Attention for Vehicle Re-Identification and Beyond (ICCV 2021) [paper]
  • Heterogeneous Relational Complement for Vehicle Re-Identification (ICCV 2021) [paper]

3. Journal

2018

  • PROVID: Progressive and Multimodal Vehicle Re-identification for Large-Scale Urban Surveillance (TMM 2018) [paper] [github]
  • Joint Feature and Similarity Deep Learning for Vehicle Re-identification (IEEE ACCESS 2018) [paper]
  • Vehicle Re-Identification by Deep Hidden Multi-View Inference (TIP 2018) [paper]

2019

  • Embedding Adversarial Learning for Vehicle Re-Identification (TIP 2019) [paper] [github]
  • VR-PROUD: Vehicle Re-identification using Progressive Unsupervised Deep Architecture (PR 2019) [paper]
  • Vehicle Re-Identification Using Quadruple Directional Deep Learning Features (TITS 2019) [paper]

2020

  • VehicleNet: Learning Robust Visual Representation for Vehicle Re-identification (TMM 2020) [paper]

4. Workshop

2017

  • Vehicle Re-Identification by Fine-Grained Cross-Level Deep Learning (BMVCW 2017) [paper]
  • Deep Hashing with Multi-task Learning for Large-Scale Instance-Level Vehicle Search (ICMEW 2017) [paper]

2018

  • [AIC 2018] (CVPRW 2018)
    • Vehicle Re-Identification With the Space-Time Prior [paper] [github]
    • Unsupervised Vehicle Re-Identification Using Triplet Networks [paper] [github]
    • Single-Camera and Inter-Camera Vehicle Tracking and 3D Speed Estimation based on Fusion of Visual and Semantic Features [paper] [github]
    • Video Analytics in Smart Transportation for the AIC’18 Challenge [paper]
    • Graph@FIT Submission to the NVIDIA AI City Challenge 2018 [paper]
    • Dual-Mode Vehicle Motion Pattern Learning for High Performance Road Traffic Anomaly Detection [paper]

2019

  • [AIC 2019] (CVPRW 2019)
    • (Rank-1) Multi-camera vehicle tracking and re-identification based on visual and spatial-temporal features [paper] [github]
    • (Rank-2) Multi-View Vehicle Re-Identification using Temporal Attention Model and Metadata Re-ranking [paper] [github]
    • (Rank-3) Vehicle Re-identification with Location and Time Stamps [paper] [github]
    • (Rank-4) VehicleNet: Learning Robust Feature Representation for Vehicle Re-identification [paper]
    • (Rank-5) Multi-Camera Vehicle Tracking with Powerful Visual Features and Spatial-Temporal Cue [paper] [github]
    • (Rank-8) Attention Driven Vehicle Re-identification and Unsupervised Anomaly Detection for Traffic Understanding [paper]
    • (Rank-13) Partition and Reunion: A Two-Branch Neural Network for Vehicle Re-identification [paper]
    • (Rank-18) Supervised Joint Domain Learning for Vehicle Re-Identification [paper]
    • (Rank-19) Vehicle Re-Identification: Pushing the limits of re-identification [paper]
    • (Rank-23) Multi-camera Vehicle Tracking and Re-identification on AI City Challenge 2019 [paper]
    • (Rank-25) Vehicle Re-identification with Learned Representation and Spatial Verification and Abnormality Detection with Multi-Adaptive Vehicle Detectors for Traffic Video Analysis [paper] [github]
    • (Rank-36) Deep Feature Fusion with Multiple Granularity for Vehicle Re-identification [paper]
    • (Rank-45) Vehicle Re-Identification and Multi-Camera Tracking in Challenging City-Scale Environment [paper]
    • (Rank-50) AI City Challenge 2019 – City-Scale Video Analytics for Smart Transportation [paper] [github]
    • (Rank-51) Multi-Task Mutual Learning for Vehicle Re-Identification [paper]
    • (Rank-54) Comparative Study of Various Losses for Vehicle Re-identification [paper]

2020

  • [AIC 2020] (CVPRW 2020)
    • (Rank-1) Going Beyond Real Data: A Robust Visual Representation for Vehicle Re-Identification [paper] [github]
    • (Rank-2) VOC-ReID: Vehicle Re-Identification Based on Vehicle-Orientation-Camera [paper] [github]
    • (Rank-3) Multi-Domain Learning and Identity Mining for Vehicle Re-Identification [paper] [github]
    • (Rank-4) Large Scale Vehicle Re-Identification by Knowledge Transfer From Simulated Data and Temporal Attention [paper] [github]
    • (Rank-7) Towards Real-Time Systems for Vehicle Re-Identification, Multi-Camera Tracking, and Anomaly Detection [paper]
    • (Rank-15) Viewpoint-Aware Channel-Wise Attentive Network for Vehicle Re-Identification [paper]
    • (Rank-19) Further Non-Local and Channel Attention Networks for Vehicle Re-Identification [paper]
    • (Rank-20) Dual Embedding Expansion for Vehicle Re-Identification [paper]
    • (Rank-26) iTASK - Intelligent Traffic Analysis Software Kit [paper] [github]
    • (Rank-27) StRDAN: Synthetic-to-Real Domain Adaptation Network for Vehicle Re-Identification [paper]
    • (Rank-30) Vehicle Re-Identification in Multi-Camera Scenarios Based on Ensembling Deep Learning Features [paper]
    • (General) Vehicle Re-Identification Based on Complementary Features [paper] [github]
    • (General) Attribute-Guided Feature Extraction and Augmentation Robust Learning for Vehicle Re-Identification [paper] [github]
    • (General) AI City Challenge 2020 - Computer Vision for Smart Transportation Applications [paper]

5. ArXiv

  • Vehicle Re-Identification: an Efficient Baseline Using Triplet Embedding [paper]
  • Vehicle Re-identification: exploring feature fusion using multi-stream convolutional networks [paper] [github]
  • Stripe-based and Attribute-aware Network: A Two-Branch Deep Model for Vehicle Re-identification [paper]
  • Attributes Guided Feature Learning for Vehicle Re-identification [paper] [github]

6. Others (single vehicle)

  • BoxCars: 3D Boxes as CNN Input for Improved Fine-Grained Vehicle Recognition (CVPR 2016) [paper]
  • Background Segmentation for Vehicle Re-Identification [paper]
  • CarFusion: Combining Point Tracking and Part Detection for Dynamic 3D Reconstruction of Vehicles (CVPR 2018) [paper]
  • Visualizing the Invisible: Occluded Vehicle Segmentation and Recovery (ICCV2019) [paper]

7. Others (multiple vehicles)

  • Highway Vehicle Counting in Compressed Domain (CVPR 2016) [paper]
  • Deep MANTA: A Coarse-To-Fine Many-Task Network for Joint 2D and 3D Vehicle Analysis From Monocular Image (CVPR 2017) [paper]
  • FCN-rLSTM: Deep Spatio-Temporal Neural Networks for Vehicle Counting in City Cameras (ICCV 2017) [paper]
  • Delving Into Robust Object Detection From Unmanned Aerial Vehicles: A Deep Nuisance Disentanglement Approach (ICCV 2019) [paper]
  • Joint Monocular 3D Vehicle Detection and Tracking (ICCV 2019) [paper]
  • Self-supervised Moving Vehicle Tracking with Stereo Sound (ICCV 2019) [paper]

8. Others (code)

Reference