Road Object Detection in Foggy Complex Scenes Based on Improved YOLOv8
IEEE AccessFocusing on the challenges of vehicle detection in foggy weather, especially the algorithm of low accuracy caused by small and incomplete targets in adverse weather conditions, a foggy weather vehicle detection algorithm based on improved lightweight ...
Long Cheng, Dan Zhang, Yan Zheng
doaj +1 more source
CrossDehaze: Scaling Up Image Dehazing with Cross-Data Vision Alignment and Augmentation
In recent years, as computer vision tasks have increasingly relied on high-quality image inputs, the task of image dehazing has received significant attention.
Lin, Liang +5 more
core
Addressing Domain Discrepancy: A Dual-branch Collaborative Model to Unsupervised Dehazing
Although synthetic data can alleviate acquisition challenges in image dehazing tasks, it also introduces the problem of domain bias when dealing with small-scale data.
Fan, Shuaibin +3 more
core
Online knowledge distillation network for single image dehazing. [PDF]
Sci Rep, 2022 Lan Y +7 more
europepmc +1 more source
Physical-model guided self-distillation network for single image dehazing. [PDF]
Front Neurorobot, 2022 Lan Y, Cui Z, Su Y, Wang N, Li A, Han D.
europepmc +1 more source
Image prediction algorithm for foggy road scenes based on improved transformer. [PDF]
Sci RepZhang BT, Zhao AY, Xiong P.
europepmc +1 more source
An improved chilli pepper flower detection approach based on YOLOv8. [PDF]
Plant MethodsWang ZY, Zhang CP.
europepmc +1 more source
Hazediff: A training-free diffusion-based image dehazing method with pixel-level feature injection. [PDF]
PLoS OneLin X +8 more
europepmc +1 more source
YOLO-Extreme: Obstacle Detection for Visually Impaired Navigation Under Foggy Weather. [PDF]
Sensors (Basel)Wang W +6 more
europepmc +1 more source
An Adversarial Dual-Branch Network for Nonhomogeneous Dehazing in Tunnel Construction. [PDF]
Sensors (Basel), 2023 Shi Z, Huo J, Meng Z, Yang F, Wang Z.
europepmc +1 more source