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 …
Transformer for object re-identification: A survey
Abstract Object Re-identification (Re-ID) aims to identify specific objects across different
times and scenes, which is a widely researched task in computer vision. For a prolonged …
times and scenes, which is a widely researched task in computer vision. For a prolonged …
Google landmarks dataset v2-a large-scale benchmark for instance-level recognition and retrieval
While image retrieval and instance recognition techniques are progressing rapidly, there is a
need for challenging datasets to accurately measure their performance--while posing novel …
need for challenging datasets to accurately measure their performance--while posing novel …
Cityflow: A city-scale benchmark for multi-target multi-camera vehicle tracking and re-identification
Urban traffic optimization using traffic cameras as sensors is driving the need to advance
state-of-the-art multi-target multi-camera (MTMC) tracking. This work introduces CityFlow, a …
state-of-the-art multi-target multi-camera (MTMC) tracking. This work introduces CityFlow, a …
TBE-Net: A three-branch embedding network with part-aware ability and feature complementary learning for vehicle re-identification
Vehicle re-identification (Re-ID) is one of the promising applications in the field of computer
vision. Existing vehicle Re-ID methods mainly focus on global appearance features or pre …
vision. Existing vehicle Re-ID methods mainly focus on global appearance features or pre …
Part-regularized near-duplicate vehicle re-identification
Vehicle re-identification (Re-ID) has been attracting more interests in computer vision owing
to its great contributions in urban surveillance and intelligent transportation. With the …
to its great contributions in urban surveillance and intelligent transportation. With the …
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 …
A dual-path model with adaptive attention for vehicle re-identification
In recent years, attention models have been extensively used for person and vehicle re-
identification. Most re-identification methods are designed to focus attention on key-point …
identification. Most re-identification methods are designed to focus attention on key-point …
Vehicle re-identification with viewpoint-aware metric learning
This paper considers vehicle re-identification (re-ID) problem. The extreme viewpoint
variation (up to 180 degrees) poses great challenges for existing approaches. Inspired by …
variation (up to 180 degrees) poses great challenges for existing approaches. Inspired by …
Git: Graph interactive transformer for vehicle re-identification
Transformers are more and more popular in computer vision, which treat an image as a
sequence of patches and learn robust global features from the sequence. However, pure …
sequence of patches and learn robust global features from the sequence. However, pure …