vehicle-re-identification-paper

review of papers of vehicle re-identification

dataset

• VeRi-776 [Project] [paper]
• PKU-VehicleID [Project] [pdf]
• PKU-VD [Project] [pdf]
• VehicleReId [Project] [pdf]
• PKU-Vehicle[Project] [pdf]
• CompCars[Project] [pdf]
• Vehicle-1M[Project] [pdf]
• VRIC [Project] [pdf]

paper of dataset

VeRi

1. Large-Scale Vehicle Re-Identification in Urban Surveillance Videos [ICME2016]

2. Improving triplet-wise training of convolutional neural network for vehicle re-identification [ICME2017]

3. A Shortly and Densely Connected Convolutional Neural Network for Vehicle Re-identification [ICPR2018]

4. Joint Feature and Similarity Deep Learning for Vehicle Re-identification [IEEE2018]

5. Vehicle re-identification using quadruple directional deep learning features [IEEE2019]

VeRi-776

1. A Deep Learning-Based Approach to Progressive Vehicle Re-identification for Urban Surveillance [ECCV2016]

2. Learning Deep Neural Networks for Vehicle Re-ID With Visual-Spatio-Temporal Path Proposals [ICCV2017]

3. Orientation Invariant Feature Embedding and Spatial Temporal Regularization for Vehicle Re-Identification [ICCV2017]

4. Multi-modal metric learning for vehicle re-identification in traffic surveillance environment [ICIP2017]

5. Viewpoint-aware Attentive Multi-view Inference for Vehicle Re-identification [CVPR2018]

6. Vehicle Re-Identification in Context [18]

7. Multi-attribute driven vehicle re-identification with spatial-temporal re-ranking [ICIP2018]

8. Joint Semi-supervised Learning and Re-ranking for Vehicle Re-identification [ICPR2018]

9. PROVID- Progressive and Multimodal Vehicle Reidentification for Large-Scale Urban Surveillance [MM2018]

10. Vehicle re-identification by deep hidden multi-view inference [IP2018]

11. Group Sensitive Triplet Embedding for Vehicle Re-identification [MM2018]

12. Ram: a region-aware deep model for vehicle re-identification [ICME2018]

13. Vehicle Re-identification by Adversarial Bi-directional LSTM Network [WACV2018]

14. Part-regularized Near-duplicate Vehicle Re-identification [IEEE2019]

15. VERI-Wild: A Large Dataset and a New Method for Vehicle Re-Identification in the Wild [CVPR2019]

16. Partition and Reunion: A Two-Branch Neural Network for Vehicle Re-identification [IEEE2019]

17. A Dual-Path Model With Adaptive Attention For Vehicle Re-Identification [ICCV2019]

18. Vehicle Re-identification with Viewpoint-aware Metric Learning [ICCV2019]

19. Vehicle Re-Identification by Multi-Grain Learning [ICIP2019]

20. Embedding Adversarial Learning for Vehicle Re-Identification [IP2019]

21. Multi-label learning with multi-label smoothing regularization for vehicle re-identification [NC2019]

22. VR-PROUD: Vehicle Re-identification using PROgressive Unsupervised Deep architecture [PR2019]

23. PVSS: A Progressive Vehicle Search System for Video Surveillance Networks [2019]

24. Vehicle Re-Identification: an Efficient Baseline Using Triplet Embedding [2019]

VehicleID

1. Deep Relative Distance Learning- Tell the Difference Between Similar Vehicles [CVPR2016]

2. Vehicle Re-Identification by Fine-Grained Cross-Level Deep Learning [BMVC2017]

3. Orientation Invariant Feature Embedding and Spatial Temporal Regularization for Vehicle Re-Identification [ICCV2017]

4. Deep joint discriminative learning for vehicle re-identification and retrieval [ICIP2017]

5. Improving triplet-wise training of convolutional neural network for vehicle re-identification [ICME2017]

6. Vehicle re-identification by fusing multiple deep neural networks [IPTA2017]

7. Learning Coarse-to-Fine Structured Feature Embedding for Vehicle Re-Identification [AAAI]

8. Viewpoint-aware Attentive Multi-view Inference for Vehicle Re-identification [CVPR2018]

9. Vehicle Re-Identification in Context [18]

10. Multi-attribute driven vehicle re-identification with spatial-temporal re-ranking [ICIP2018]

11. A Shortly and Densely Connected Convolutional Neural Network for Vehicle Re-identification [ICPR2018]

12. Joint Semi-supervised Learning and Re-ranking for Vehicle Re-identification [ICPR2018]

13. Part-based Multi-stream Model for Vehicle Searching [ICPR2018]

14. Joint Feature and Similarity Deep Learning for Vehicle Re-identification [IEEE2018]

15. PROVID- Progressive and Multimodal Vehicle Reidentification for Large-Scale Urban Surveillance [MM2018]

16. Vehicle re-identification by deep hidden multi-view inference [IP2018]

17. Group Sensitive Triplet Embedding for Vehicle Re-identification [MM2018]

18. Ram: a region-aware deep model for vehicle re-identification [ICME2018]

19. Vehicle Re-identification by Adversarial Bi-directional LSTM Network [WACV2018]

20. Part-regularized Near-duplicate Vehicle Re-identification [IEEE2019]

21. VERI-Wild: A Large Dataset and a New Method for Vehicle Re-Identification in the Wild [CVPR2019]

22. Partition and Reunion: A Two-Branch Neural Network for Vehicle Re-identification [IEEE2019]

23. A Dual-Path Model With Adaptive Attention For Vehicle Re-Identification [ICCV2019]

24. Vehicle Re-identification with Viewpoint-aware Metric Learning [ICCV2019]

25. Vehicle Re-Identification by Multi-Grain Learning [ICIP2019]

26. Embedding Adversarial Learning for Vehicle Re-Identification [IP2019]

27. Two-Level Attention Network with Multi-Grain Ranking Loss for Vehicle Re-Identification [IEEE2019]

28. Vehicle re-identification using quadruple directional deep learning features [IEEE2019]

29. Multi-label learning with multi-label smoothing regularization for vehicle re-identification [NC2019]

30. VR-PROUD: Vehicle Re-identification using PROgressive Unsupervised Deep architecture [PR2019]

31. Structural Analysis of Attributes for Vehicle Re-Identification and Retrieval [IEEE2019]

32. Vehicle Re-Identification with Refined Part Model [ICMEW2019]

33. Vehicle Re-Identification: an Efficient Baseline Using Triplet Embedding [2019]

CompCars

1. Deep Relative Distance Learning- Tell the Difference Between Similar Vehicles [CVPR2016]

2. Orientation Invariant Feature Embedding and Spatial Temporal Regularization for Vehicle Re-Identification [ICCV2017]

3. Group Sensitive Triplet Embedding for Vehicle Re-identification [MM2018]

PKU-VD

1. Exploiting Multi-Grain Ranking Constraints for Precisely Searching Visually-similar Vehicles [ICCV2017]

2. Vehicle Re-Identification: an Efficient Baseline Using Triplet Embedding [2019]

BoxCars21K

1. Orientation Invariant Feature Embedding and Spatial Temporal Regularization for Vehicle Re-Identification [ICCV2017]

VRID-1

1. VRID-1: A Basic Vehicle Re-identification Dataset for Similar Vehicles [IEEE2017]

Vehicle-1M

1. Learning Coarse-to-Fine Structured Feature Embedding for Vehicle Re-Identification [AAAI]

2. Two-Level Attention Network with Multi-Grain Ranking Loss for Vehicle Re-Identification [IEEE2019]

3. Vehicle Re-Identification with Refined Part Model [ICMEW2019]

VRIC

1. Vehicle Re-Identification in Context [18]

2. Partition and Reunion: A Two-Branch Neural Network for Vehicle Re-identification [IEEE2019]

Toy Car RE-ID

1. Vehicle re-identification by deep hidden multi-view inference [IP2018]

Multi-View Car Dataset

1. Vehicle re-identification by deep hidden multi-view inference [IP2018]

PKU-Vehicle

1. Group Sensitive Triplet Embedding for Vehicle Re-identification [MM2018]

VERI-Wild

1. VERI-Wild: A Large Dataset and a New Method for Vehicle Re-Identification in the Wild [CVPR2019]

CityFlow-ReID

1. Partition and Reunion: A Two-Branch Neural Network for Vehicle Re-identification [IEEE2019]

VAC21

1. Structural Analysis of Attributes for Vehicle Re-Identification and Retrieval [IEEE2019]

paper

2016

1. Vehicle Re-Identification for Automatic Video Traffic Surveillance [CVPR2016]

2. Deep Relative Distance Learning- Tell the Difference Between Similar Vehicles [CVPR2016]

3. A Deep Learning-Based Approach to Progressive Vehicle Re-identification for Urban Surveillance [ECCV2016]

4. Large-Scale Vehicle Re-Identification in Urban Surveillance Videos [ICME2016]

2017

1. Orientation Invariant Feature Embedding and Spatial Temporal Regularization for Vehicle Re-Identification [ICCV2017]

2. Learning Deep Neural Networks for Vehicle Re-ID With Visual-Spatio-Temporal Path Proposals [ICCV2017]

3. Exploiting Multi-Grain Ranking Constraints for Precisely Searching Visually-similar Vehicles [ICCV2017]

4. Improving triplet-wise training of convolutional neural network for vehicle re-identification [ICME2017]

5. Deep hashing with multi-task learning for large-scale instance-level vehicle search [ICME2017]

6. Deep joint discriminative learning for vehicle re-identification and retrieval [ICIP2017]

7. Vehicle Re-Identification by Fine-Grained Cross-Level Deep Learning [BMVC2017]

8. Multi-modal metric learning for vehicle re-identification in traffic surveillance environment [ICIP2017]

9. Vehicle re-identification by fusing multiple deep neural networks [IPTA2017]

10. VRID-1: A Basic Vehicle Re-identification Dataset for Similar Vehicles [IEEE2017]

2018

1. Unsupervised Vehicle Re-Identification using Triplet Networks [CVPR2018]

2. Vehicle Re-Identification with the Space-Time Prior [CVPR2018]

3. Viewpoint-aware Attentive Multi-view Inference for Vehicle Re-identification [CVPR2018]

4. Single-camera and inter-camera vehicle tracking and 3D speed estimation based on fusion of visual and semantic features [CVPR2018]

5. Fast vehicle identification via ranked semantic sampling based embedding [IJCAI2018]

6. Vehicle re-identification by deep hidden multi-view inference [IP2018]

7. Ram: a region-aware deep model for vehicle re-identification [ICME2018]

8. Learning Coarse-to-Fine Structured Feature Embedding for Vehicle Re-Identification [AAAI]

9. PROVID- Progressive and Multimodal Vehicle Reidentification for Large-Scale Urban Surveillance [MM2018]

10. Group Sensitive Triplet Embedding for Vehicle Re-identification [MM2018]

11. VP-ReID: vehicle and person re-identification system [ACMMM2018]

12. Multi-attribute driven vehicle re-identification with spatial-temporal re-ranking [ICIP2018]

13. A Shortly and Densely Connected Convolutional Neural Network for Vehicle Re-identification [ICPR2018]

14. Joint Semi-supervised Learning and Re-ranking for Vehicle Re-identification [ICPR2018]

15. Part-based Multi-stream Model for Vehicle Searching [ICPR2018]

16. Vehicle Re-identification by Adversarial Bi-directional LSTM Network [WACV2018]

17. Joint Feature and Similarity Deep Learning for Vehicle Re-identification [IEEE2018]

18. Vehicle Re-Identification in Context [18]

2019

1. A Dual-Path Model With Adaptive Attention For Vehicle Re-Identification [ICCV2019]

2. Vehicle Re-identification with Viewpoint-aware Metric Learning [ICCV2019]

3. VR-PROUD: Vehicle Re-identification using PROgressive Unsupervised Deep architecture [PR2019]

4. Embedding Adversarial Learning for Vehicle Re-Identification [IP2019]

5. VERI-Wild: A Large Dataset and a New Method for Vehicle Re-Identification in the Wild [CVPR2019]

6. Part-regularized Near-duplicate Vehicle Re-identification [IEEE2019]

7. Partition and Reunion: A Two-Branch Neural Network for Vehicle Re-identification [IEEE2019]

8. Vehicle Re-Identification by Multi-Grain Learning [ICIP2019]

9. Two-Level Attention Network with Multi-Grain Ranking Loss for Vehicle Re-Identification [IEEE2019]

10. Vehicle re-identification using quadruple directional deep learning features [IEEE2019]

11. Multi-label learning with multi-label smoothing regularization for vehicle re-identification [NC2019]

12. PVSS: A Progressive Vehicle Search System for Video Surveillance Networks [2019]

13. Structural Analysis of Attributes for Vehicle Re-Identification and Retrieval [IEEE2019]

14. Vehicle Re-Identification with Refined Part Model [ICMEW2019]

15. Vehicle Re-Identification: an Efficient Baseline Using Triplet Embedding [2019]

State-of-the-art Results on the VeRi-776 and VehilceID