A review of vision-based traffic semantic understanding in ITSs
J Chen, Q Wang, HH Cheng, W Peng… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
A semantic understanding of road traffic can help people understand road traffic flow
situations and emergencies more accurately and provide a more accurate basis for anomaly …
situations and emergencies more accurately and provide a more accurate basis for anomaly …
Monocular visual traffic surveillance: A review
To facilitate the monitoring and management of modern transportation systems, monocular
visual traffic surveillance systems have been widely adopted for speed measurement …
visual traffic surveillance systems have been widely adopted for speed measurement …
Adversarial mixup ratio confusion for unsupervised domain adaptation
Multimedia applications often involve knowledge transfer across domains, eg, from images
to texts, where Unsupervised Domain Adaptation (UDA) can be used to reduce the domain …
to texts, where Unsupervised Domain Adaptation (UDA) can be used to reduce the domain …
Vision-based traffic accident detection and anticipation: A survey
Traffic accident detection and anticipation is an obstinate road safety problem and
painstaking efforts have been devoted. With the rapid growth of video data, Vision-based …
painstaking efforts have been devoted. With the rapid growth of video data, Vision-based …
An appearance-motion network for vision-based crash detection: Improving the accuracy in congested traffic
Crash detection is of great significance for traffic emergency management. Video-based
approaches can effectively save the manpower monitoring cost and have achieved …
approaches can effectively save the manpower monitoring cost and have achieved …
A New Video‐Based Crash Detection Method: Balancing Speed and Accuracy Using a Feature Fusion Deep Learning Framework
Quick and accurate crash detection is important for saving lives and improved traffic incident
management. In this paper, a feature fusion‐based deep learning framework was developed …
management. In this paper, a feature fusion‐based deep learning framework was developed …
Knowledge graph embedding-based domain adaptation for musical instrument recognition
Convolutional neural networks raised the bar for machine learning and artificial intelligence
applications, mainly due to the abundance of data and computations. However, there is not …
applications, mainly due to the abundance of data and computations. However, there is not …
Few-shot object detection: Application to medieval musicological studies
Detecting objects with a small representation in images is a challenging task, especially
when the style of the images is very different from recent photos, which is the case for …
when the style of the images is very different from recent photos, which is the case for …
[PDF][PDF] A real time accident detection framework for traffic video analysis
Traffic accident detection is an important topic in traffic video analysis, and this paper
discusses single-vehicle traffic accident detection. Specifically, a novel real-time traffic …
discusses single-vehicle traffic accident detection. Specifically, a novel real-time traffic …
An In-Depth Analysis of Domain Adaptation in Computer and Robotic Vision
This review article comprehensively delves into the rapidly evolving field of domain
adaptation in computer and robotic vision. It offers a detailed technical analysis of the …
adaptation in computer and robotic vision. It offers a detailed technical analysis of the …