Unsupervised Vehicle Re-Identification
6 papers with code • 1 benchmarks • 1 datasets
Benchmarks
These leaderboards are used to track progress in Unsupervised Vehicle Re-Identification
| Trend | Dataset | Best Model | Paper | Code | Compare |
|---|---|---|---|---|---|
|
VeRi-776
Most implemented papers
Unsupervised Vehicle Re-Identification via Self-supervised Metric Learning using Feature Dictionary
The results of DPLM are applied to dictionary-based triplet loss (DTL) to improve the discriminativeness of learnt features and to refine the quality of the results of DPLM progressively.
Camera-Tracklet-Aware Contrastive Learning for Unsupervised Vehicle Re-Identification
andreyoo/ctam-ctacl-vvreid
•
•
However, this achievement requires large-scale and well-annotated datasets.
Part-based Pseudo Label Refinement for Unsupervised Person Re-identification
In this paper, we propose a novel Part-based Pseudo Label Refinement (PPLR) framework that reduces the label noise by employing the complementary relationship between global and part features.
Triplet Contrastive Representation Learning for Unsupervised Vehicle Re-identification
To address this problem, in this paper, we propose a simple Triplet Contrastive Representation Learning (TCRL) framework which leverages cluster features to bridge the part features and global features for unsupervised vehicle re-identification.
Multi‑camera trajectory matching based on hierarchical clustering and constraints
regob/vehicle_mtmc
•
•
Multimedia Tools and Applications 2023
The fast improvement of deep learning methods resulted in breakthroughs in image classification, object detection, and object tracking.
Prototypical Contrastive Learning-based CLIP Fine-tuning for Object Re-identification
RikoLi/PCL-CLIP
•
•
Although prompt learning has enabled a recent work named CLIP-ReID to achieve promising performance, the underlying mechanisms and the necessity of prompt learning remain unclear due to the absence of semantic labels in ReID tasks.
