Due to the limitations of small targets in remote sensing images, such as background noise,
poor information, and so on, the results of commonly used detection algorithms in small …

Convolutional neural networks (CNN), especially U-shaped networks, have become the
mainstream approach for medical image segmentation. However, due to the intrinsic locality …

Underwater object detection technology is crucial in many marine-related fields, including
marine environmental monitoring, marine resource development, and marine ecological …

Wearing gloves during machinery operation in workshops is essential for preventing
accidental injuries, such as mechanical damage and burns. Ensuring that workers are …

To detect the oil leakage problem of the power transformer in time and guarantee the normal
operation of the power system, this paper proposes a lightweight-attention YOLOv8s, called …

Meal detection is an important technology to ensure success rate of meal-assisting robotics.
However, due to the strong interclass similarity and intraclass variability presented by …

Image super-resolution reconstruction (SR) is an important ill-posed problem in low-level
vision, which aims to reconstruct high-resolution images from low-resolution images …

Convolutional neural network (CNN)-based object detectors perform excellently but lack
global feature extraction and cannot establish global dependencies between object pixels …

Aspect-based sentiment analysis (ABSA) represents a crucial field of natural language
processing (NLP). It focuses on deriving detailed sentiment insights from textual content …

A vehicle detection algorithm is an indispensable component of intelligent traffic
management and control systems, influencing the efficiency and functionality of the system …