CourtNet: Dynamically balance the precision and recall rates in infrared small target detection
Infrared small-target detection (ISTD) is an important computer vision task. ISTD aims at
separating small targets from complex background clutter. The infrared radiation decays with …
separating small targets from complex background clutter. The infrared radiation decays with …
A neighbourhood feature-based local binary pattern for texture classification
S Lan, J Li, S Hu, H Fan, Z Pan - The Visual Computer, 2024 - Springer
The CNN framework has gained widespread attention in texture feature analysis; however,
handcrafted features still remain advantageous if computational cost needs to take …
handcrafted features still remain advantageous if computational cost needs to take …
A multi-channel framework based Local Binary Pattern with two novel local feature descriptors for texture classification
S Lan, X Liao, H Fan, S Hu, Z Pan - Digital Signal Processing, 2023 - Elsevier
Local binary pattern (LBP) has been widely used in various application fields, including
object detection, texture analysis, and remote sensing. To improve discrimination …
object detection, texture analysis, and remote sensing. To improve discrimination …
Dynamic background reconstruction via masked autoencoders for infrared small target detection
Infrared small target detection (ISTD) under complex backgrounds is a difficult problem, for
the differences between targets and backgrounds are not easy to distinguish. Background …
the differences between targets and backgrounds are not easy to distinguish. Background …
A transformer‐based lightweight method for multiple‐object tracking
Q Wan, Z Ge, Y Yang, X Shen, H Zhong… - IET Image …, 2024 - Wiley Online Library
At present, the multi‐object tracking method based on transformer generally uses its
powerful self‐attention mechanism and global modelling ability to improve the accuracy of …
powerful self‐attention mechanism and global modelling ability to improve the accuracy of …