Orientation invariant feature embedding and spatial temporal regularization for vehicle re-identification
In this paper, we tackle the vehicle Re-identification (ReID) problem which is of great
importance in urban surveillance and can be used for multiple applications. In our vehicle …
importance in urban surveillance and can be used for multiple applications. In our vehicle …
Veri-wild: A large dataset and a new method for vehicle re-identification in the wild
Abstract Vehicle Re-identification (ReID) is of great significance to the intelligent
transportation and public security. However, many challenging issues of Vehicle ReID in …
transportation and public security. However, many challenging issues of Vehicle ReID in …
Disentangled feature learning network and a comprehensive benchmark for vehicle re-identification
Vehicle Re-Identification (ReID) is of great significance for public security and intelligent
transportation. Large and comprehensive datasets are crucial for the development of vehicle …
transportation. Large and comprehensive datasets are crucial for the development of vehicle …
Learning deep neural networks for vehicle re-id with visual-spatio-temporal path proposals
Vehicle re-identification is an important problem and has many applications in video
surveillance and intelligent transportation. It gains increasing attention because of the recent …
surveillance and intelligent transportation. It gains increasing attention because of the recent …
Improving triplet-wise training of convolutional neural network for vehicle re-identification
Vehicle re-identification (re-id) plays an important role in the automatic analysis of the
drastically increasing urban surveillance videos. Similar to the other image retrieval …
drastically increasing urban surveillance videos. Similar to the other image retrieval …
A survey of advances in vision-based vehicle re-identification
Vehicle re-identification (V-reID) has become significantly popular in the community due to
its applications and research significance. In particular, the V-reID is an important problem …
its applications and research significance. In particular, the V-reID is an important problem …
Large-scale vehicle re-identification in urban surveillance videos
Vehicle, as a significant object class in urban surveillance, attracts massive focuses in
computer vision field, such as detection, tracking, and classification. Among them, vehicle re …
computer vision field, such as detection, tracking, and classification. Among them, vehicle re …
Aware attentive multi-view inference for vehicle re-identification
Vehicle re-identification (re-ID) has the huge potential to contribute to the intelligent video
surveillance. However, it suffers from challenges that different vehicle identities with a similar …
surveillance. However, it suffers from challenges that different vehicle identities with a similar …
Embedding adversarial learning for vehicle re-identification
The high similarities of different real-world vehicles and great diversities of the acquisition
views pose grand challenges to vehicle re-identification (ReID), which traditionally maps the …
views pose grand challenges to vehicle re-identification (ReID), which traditionally maps the …
[PDF][PDF] A Multi-Feature Learning Model with Enhanced Local Attention for Vehicle Re-Identification.
W Sun, X Chen, X Zhang, G Dai… - … Materials & Continua, 2021 - pdfs.semanticscholar.org
Vehicle re-identification (ReID) aims to retrieve the target vehicle in an extensive image
gallery through its appearances from various views in the cross-camera scenario. It has …
gallery through its appearances from various views in the cross-camera scenario. It has …