Vehicle Re-Identification Edit Task
Computer Vision • Intelligent Surveillance
About
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 )
Benchmarks
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Datasets
Greatest papers with code
VehicleNet: Learning Robust Feature Representation for Vehicle Re-identification
• layumi/Person_reID_baseline_pytorch
• 
This stage relaxes the full alignment between the training and testing domains, as it is agnostic to the target vehicle domain.
Ranked #1 on
Vehicle Re-Identification
on VeRi-776
(using extra training data)
FastReID: A Pytorch Toolbox for General Instance Re-identification
General Instance Re-identification is a very important task in the computer vision, which can be widely used in many practical applications, such as person/vehicle re-identification, face recognition, wildlife protection, commodity tracing, and snapshop, etc.. To meet the increasing application demand for general instance re-identification, we present FastReID as a widely used software system in JD AI Research.
FACE RECOGNITION IMAGE RETRIEVAL PERSON RE-IDENTIFICATION VEHICLE RE-IDENTIFICATION
Multi-Domain Learning and Identity Mining for Vehicle Re-Identification
• michuanhaohao/reid-strong-baseline
•
Our solution is based on a strong baseline with bag of tricks (BoT-BS) proposed in person ReID.
Simulating Content Consistent Vehicle Datasets with Attribute Descent
Between synthetic and real data, there is a two-level domain gap, i. e., content level and appearance level.
DATA AUGMENTATION DOMAIN ADAPTATION PERSON RE-IDENTIFICATION VEHICLE RE-IDENTIFICATION
Smooth-AP: Smoothing the Path Towards Large-Scale Image Retrieval
ECCV 2020
• Andrew-Brown1/Smooth_AP
•
Optimising a ranking-based metric, such as Average Precision (AP), is notoriously challenging due to the fact that it is non-differentiable, and hence cannot be optimised directly using gradient-descent methods.
Ranked #1 on
Image Retrieval
on iNaturalist
IMAGE INSTANCE RETRIEVAL METRIC LEARNING VEHICLE RE-IDENTIFICATION
Deep Meta Metric Learning
In this paper, we present a deep meta metric learning (DMML) approach for visual recognition.
FACE VERIFICATION METRIC LEARNING PERSON RE-IDENTIFICATION VEHICLE RE-IDENTIFICATION
VOC-ReID: Vehicle Re-identification based on Vehicle-Orientation-Camera
• Xiangyu-CAS/AICity2020-VOC-ReID
•
Then we use orientation and camera similarity as penalty to get final similarity.
Vehicle Re-identification: exploring feature fusion using multi-stream convolutional networks
In the first network stream, shape similarities are identified by a Siamese CNN that uses a pair of low-resolution vehicle patches recorded by two different cameras.
Robust Re-Identification by Multiple Views Knowledge Distillation
To achieve robustness in Re-Identification, standard methods leverage tracking information in a Video-To-Video fashion.
Ranked #2 on
Person Re-Identification
on MARS
KNOWLEDGE DISTILLATION VEHICLE RE-IDENTIFICATION VIDEO-BASED PERSON RE-IDENTIFICATION
A Dual-Path Model With Adaptive Attention For Vehicle Re-Identification
ICCV 2019
• Pirazh/Vehicle_Key_Point_Orientation_Estimation
•
In this paper, we present a novel dual-path adaptive attention model for vehicle re-identification (AAVER).
VEHICLE KEY-POINT AND ORIENTATION ESTIMATION VEHICLE RE-IDENTIFICATION