Foreground detection (FD) plays an important role in the domain of video surveillance for
highway. The design of advanced FD algorithms requires large-scale and diverse video …

Real-time semantic segmentation is essential for many practical applications, which utilizes
attention-based feature aggregation into lightweight structures to improve accuracy and …

Anomaly segmentation plays a crucial role in identifying anomalous objects within images,
which facilitates the detection of road anomalies for autonomous driving. Although existing …

In recent years, the development of artificial intelligence (AI) and the expanding applications
of deep learning, particularly in image segmentation and recognition using convolutional …

Road ponding, a prevalent traffic hazard, poses a serious threat to road safety by causing
vehicles to lose control and leading to accidents ranging from minor fender benders to …

为实现不同光照与气候条件下的沥青路面积水区域自动分割, 在现有全分辨率残差网络(FRRN)
的上采样层设计了一种注意力监督机制; 加入积水区域注意力模块(PAAM) 与深度监督模块 …

Cartoon animal parsing aims to segment the body parts such as heads, arms, legs and tails
of cartoon animals. Different from previous parsing tasks, cartoon animal parsing faces new …

Cartoon parsing is an important task for cartoon-centric applications, which segments the
body parts of cartoon images. Due to the complex appearances, abstract drawing styles, and …

Localizing and recognizing interactive actions in videos is a pivotal yet intricate task that
paves the way towards profound video comprehension. Recent advancements in Human …

Cartoon parsing, the task of segmenting constituent parts such as heads, arms, and legs of
cartoon characters, holds substantial significance for applications in the animation industry …