Just for a collection. I do not work on this topic.

1. VeRi-776

   project paper

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

2. PKU Vehicle-ID

   project pdf

90,196 images of 10,319 vehicles. Only two camera views??

3. PKU-VD

   project pdf

with attribute.

4. VehicleReID

   project pdf

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

5. PKU-Vehicle

   project paper

no ID lablled.

6. CompCars

   project pdf

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

7. StanfordCars

   project pdf

16,185 images of 196 classes.

8. Vehicle-1M

   project pdf

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

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

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 (IP) 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 (MM) paper

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

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

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

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

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

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

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

6. Multi-modal metric learning for vehicle re-identification in traffic surveillance environment paper

7. Vehicle re-identification by fusing multiple deep neural networks paper

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

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

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

4. Large-Scale Vehicle Re-Identification in Urban Surveillance Videos (ICME) paper

~~

1. Orientation Invariant Feature Embedding and Spatial Temporal Regularization for Vehicle Re-identification (ICCV2017)

Comments: Use multiple training sets.

2. Learning Deep Neural Networks for Vehicle Re-ID with Visual-spatio-temporal Path Proposals (ICCV2017)

Comments: Add the time constraint.

3. Exploiting Multi-Grain Ranking Constraints for Precisely Searching Visually-similar Vehicles (ICCV2017)

Comments: Propose a dataset.

4. Viewpoint-aware Attentive Multi-view Inference for Vehicle Re-identification (CVPR2018)

5. Group sensitive triplet embedding for vehicle re-identification (TMM)

6. Deep relative distance learning: Tell the difference between similar vehicles. (CVPR2016)

7. Coarse-to-fine: A RNN-based hierarchical attention model for vehicle re-identification. (ACCV2018) ~~