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computer-vision-20

Vehicle Re-Identification

3260 papers • 126 benchmarks • 313 datasets

Vehicle re-identification is the task of identifying the same vehicle across multiple cameras. ( Image credit: A Two-Stream Siamese Neural Network for Vehicle Re-Identification by Using Non-Overlapping Cameras )

(Image credit: Open Source)

Vehicle Re-Identification

Benchmarks

These leaderboards are used to track progress in vehicle-re-identification-40

Trend
Dataset
Best Model
Actions
VeRi-776
VeRi-776
VeRi-776
VehicleID Small
VehicleID Small
VehicleID Small
VehicleID Large
VehicleID Large

Libraries

i

Use these libraries to find vehicle-re-identification-40 models and implementations

layumi/Person_reID_baseline_pytorch
2 papers 3,975

Datasets

No datasets available.

Subtasks

No subtasks available.

Most implemented papers

Content

Introduction Benchmarks Datasets Subtasks Libraries Papers
VehicleID Large
VehicleID Medium
VehicleID Medium
VehicleID Medium
VeRi-Wild Small
VeRi-Wild Small
VeRi-Wild Small
VeRi
VeRi
VeRi
VeRi-Wild Large
VeRi-Wild Large
VeRi-Wild Large
CityFlow
CityFlow
CityFlow
VeRi-Wild Medium
VeRi-Wild Medium
VeRi-Wild Medium
VehicleID
VehicleID
VehicleID
VRAI test
VRAI test
VRAI test
VRAI test-dev
VRAI test-dev
VRAI test-dev

Adding a benchmark result helps the community track progress.