🚗 The 1st Place Submission to AICity Challenge 2020 re-id track [code] [paper]

🚁 Drone-based building re-id [code] [paper]

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.

2. PKU Vehicle-ID

   project pdf

221,763 images of 2,627 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

9. VERI-Wild

project

VehicleNet: Learning Robust Visual Representation for Vehicle Re-identification arXiv

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

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

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 (ICIP) paper

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

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

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