Vehicle Re-Identification
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 )
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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
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.
A Dual-Path Model With Adaptive Attention For Vehicle Re-Identification
ICCV 2019
• Pirazh/Vehicle_Key_Point_Orientation_Estimation
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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
Variational Representation Learning for Vehicle Re-Identification
• saghiralfasly/VFL-Vehicle-Re-Id
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One of the most challenging problems is to learn an efficient representation for a vehicle from its multi-viewpoint images.
A Two-Stream Siamese Neural Network for Vehicle Re-Identification by Using Non-Overlapping Cameras
• icarofua/siamese-two-stream
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We describe in this paper a Two-Stream Siamese Neural Network for vehicle re-identification.
Improving Vehicle Re-Identification using CNN Latent Spaces: Metrics Comparison and Track-to-track Extension
• GeoTrouvetout/Vehicle_ReID
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Results show that T2TP outperforms I2TP for MCD and RSCR.
Vehicle Re-identification in Aerial Imagery: Dataset and Approach
It is capable of explicitly detecting discriminative parts for each specific vehicle and significantly outperforms the evaluated baselines and state-of-the-art vehicle ReID approaches.