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 …
Surroundocc: Multi-camera 3d occupancy prediction for autonomous driving
Abstract 3D scene understanding plays a vital role in vision-based autonomous driving.
While most existing methods focus on 3D object detection, they have difficulty describing …
While most existing methods focus on 3D object detection, they have difficulty describing …
Cloud control system architectures, technologies and applications on intelligent and connected vehicles: a review
W Chu, Q Wuniri, X Du, Q **ong, T Huang… - Chinese Journal of …, 2021 - Springer
The electrification of vehicle helps to improve its operation efficiency and safety. Due to fast
development of network, sensors, as well as computing technology, it becomes realizable to …
development of network, sensors, as well as computing technology, it becomes realizable to …
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 …
Beyond triplet loss: person re-identification with fine-grained difference-aware pairwise loss
Person Re-IDentification (ReID) aims at re-identifying persons from different viewpoints
across multiple cameras. Capturing the fine-grained appearance differences is often the key …
across multiple cameras. Capturing the fine-grained appearance differences is often the key …
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 …
Fastreid: A pytorch toolbox for general instance re-identification
General Instance Re-identification is a very important task in computer vision, which can be
widely used in many practical applications, such as person/vehicle re-identification, face …
widely used in many practical applications, such as person/vehicle re-identification, face …
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 …
Parsing-based view-aware embedding network for vehicle re-identification
Abstract Vehicle Re-Identification is to find images of the same vehicle from various views in
the cross-camera scenario. The main challenges of this task are the large intra-instance …
the cross-camera scenario. The main challenges of this task are the large intra-instance …