Vehicle Re-Identification
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Benchmarks
VeRi-776
VehicleID Small
VehicleID Large
VehicleID Medium
VRAI test-dev
VRAI test
VeRi-Wild Small
VeRi
VeRi-Wild Large
CityFlow
VeRi-Wild Medium
VehicleID
Most implemented
PAMTRI: Pose-Aware Multi-Task Learning for Vehicle Re-Identification Using Highly Randomized Synthetic Data
Cluster Contrast for Unsupervised Person Re-Identification
TransReID: Transformer-based Object Re-Identification
FastReID: A Pytorch Toolbox for General Instance Re-identification
Papers
Benchmarking UAV-based Vehicle Re-Identification under Simulated Weather Conditions
UAV-based vehicle re-identification (ReID) has emerged as a promising technique for traffic surveillance, urban monitoring, and public-safety applications thanks to the flexible viewpoints and wide-area coverage provided…
Vehicle Re-IdentificationREMIND: RE-Identification with Memory for INDoor Navigation
Mobile robots operating indoors must re-identify previously observed objects after long temporal gaps, significant viewpoint changes, and severe illumination variations. This remains a challenging problem: multi-object t…
Video Object SegmentationVehicle Re-IdentificationMulti-Object TrackingGeneralization Limits in Vehicle Re-Identification
Vehicle re-identification focuses on retrieving images of the same vehicle from a gallery given a query image. Upon closer inspection of commonly used datasets, we observe that vehicles with few visual differences-e.g., …
Vehicle Re-IdentificationT2I-VeRW: Part-level Fine-grained Perception for Text-to-Image Vehicle Retrieval
Vehicle Re-identification (Re-ID) aims to retrieve the most similar image to a given query from images captured by non-overlapping cameras. Extending vehicle Re-ID from image-only queries to text-based queries enables re…
Vehicle Re-IdentificationVC-FeS: Viewpoint-Conditioned Feature Selection for Vehicle Re-identification in Thermal Vision
Identification of less-articulated objects using single-channel images, such as thermal images, is important in many applications, such as surveillance. However, in this domain, existing methods show poor performance due…
Vehicle Re-IdentificationDCG ReID: Disentangling Collaboration and Guidance Fusion Representations for Multi-modal Vehicle Re-Identification
Multi-modal vehicle Re-Identification (ReID) aims to leverage complementary information from RGB, Near Infrared (NIR), and Thermal Infrared (TIR) modalities to retrieve the same vehicle. The challenges of multi-modal veh…
Vehicle Re-Identification