CEAM-YOLOv7: Improved YOLOv7 based on channel expansion and attention mechanism for driver distraction behavior detection

S Liu, Y Wang, Q Yu, H Liu, Z Peng - IEEE Access, 2022 - ieeexplore.ieee.org
Driver distraction behavior is prone to induce traffic accidents. Therefore, it is necessary to
detect it to caution drivers in time for traffic safety. In driver behavior recognition, the diversity …

Fast and accurate object detector for autonomous driving based on improved YOLOv5

X Jia, Y Tong, H Qiao, M Li, J Tong, B Liang - Scientific reports, 2023 - nature.com
Autonomous driving is an important branch of artificial intelligence, and real-time and
accurate object detection is key to ensuring the safe and stable operation of autonomous …

Real-time one-stream semantic-guided refinement network for RGB-thermal salient object detection

F Huo, X Zhu, Q Zhang, Z Liu… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Salient object detection (SOD) has been widely used in practical applications, such as
multisensor image fusion, remote sensing, and defect detection. Recently, SOD from RGB …

TFGNet: Traffic salient object detection using a feature deep interaction and guidance fusion

N Jia, Y Sun, X Liu - IEEE Transactions on Intelligent …, 2023 - ieeexplore.ieee.org
Emergency prediction and driver attention prediction are fundamental tasks within the realm
of self-driving vehicles and assistant driving systems. The utilization of visual saliency …

Tcgnet: Type-correlation guidance for salient object detection

Y Liu, L Zhou, G Wu, S Xu, J Han - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Contrast and part-whole relations induced by deep neural networks like Convolutional
Neural Networks (CNNs) and Capsule Networks (CapsNets) have been known as two types …

LEF-YOLO: a lightweight method for intelligent detection of four extreme wildfires based on the YOLO framework

J Li, H Tang, X Li, H Dou, R Li - International journal of wildland …, 2023 - CSIRO Publishing
Background Extreme wildfires pose a serious threat to forest vegetation and human life
because they spread more rapidly and are more intense than conventional wildfires …

Enhancing traffic safety with parallel dense video captioning for end-to-end event analysis

M Shoman, D Wang, A Aboah… - Proceedings of the …, 2024 - openaccess.thecvf.com
This paper introduces our solution for Track 2 in AI City Challenge 2024. The task aims to
solve traffic safety description and analysis with the dataset of Woven Traffic Safety (WTS) a …

Cf-yolo: Cross fusion yolo for object detection in adverse weather with a high-quality real snow dataset

Q Ding, P Li, X Yan, D Shi, L Liang… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Snow is one of the toughest adverse weather conditions for object detection (OD). Currently,
not only there is a lack of snowy OD datasets to train cutting-edge detectors, but also these …

Object feedback and feature information retention for small object detection in intelligent transportation scenes

D Tian, Y Han, S Wang - Expert Systems with Applications, 2024 - Elsevier
Object detection is an important task in intelligent transportation scenes, and the
performance of small object detection is directly related to its practical application. Small …

Fixated object detection based on saliency prior in traffic scenes

Y Shi, S Zhao, J Wu, Z Wu, H Yan - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
From the perspective of computer vision, both visual saliency and object detection have
attracted hot attention in the field of traffic scene perception. However, these two tasks are …