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 )
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)
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
Our solution is based on a strong baseline with bag of tricks (BoT-BS) proposed in person ReID.
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
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
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
Then we use orientation and camera similarity as penalty to get final similarity.
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.
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
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