Transformers have revolutionized computer vision and natural language processing, but
their high computational complexity limits their application in high-resolution image …

In recent years the field of image dehazing has garnered increasing attention. Many deep
learning models have demonstrated exceptional capabilities in removing homogeneous …

Image dehazing, a pivotal task in low-level vision, aims to restore the visibility and detail
from hazy images. Many deep learning methods with powerful representation learning …

Accurately detecting and counting abnormal fish behaviors in aquaculture is essential.
Timely detection allows farmers to take swift action to protect fish health and prevent …

Optimizing the structure of deep neural networks is essential in many applications.
Especially in the object detection tasks of Unmanned Aerial Vehicles. Due to the constraints …

The automatic monitoring and detection of maritime targets hold paramount significance in
safeguarding national sovereignty, ensuring maritime rights, and advancing national …

现有视觉缺陷检测技术通常基于传统电荷耦合器件(Charge-coupled device, CCD)
或互补金属氧化物半导体(Complementary metal-oxide-semiconductor, CMOS) …

Currently, target detection on unmanned aerial vehicle (UAV) images is a research hotspot.
Due to the significant scale variability of targets and the interference of complex …

Window-based transformers have demonstrated outstanding performance in super-
resolution tasks due to their adaptive modeling capabilities through local self-attention (SA) …

Panoramic images, capturing a 360 {\deg} field of view (FoV), encompass omnidirectional
spatial information crucial for scene understanding. However, it is not only costly to obtain …