High-resolution power equipment recognition based on improved self-attention

no code implementations • 6 Nov 2023 • Siyi Zhang, Cheng Liu, Xiang Li, Xin Zhai, Zhen Wei, Sizhe Li, Xun Ma

The current trend of automating inspections at substations has sparked a surge in interest in the field of transformer image recognition.

Region Proposal

Image Recognition of Oil Leakage Area Based on Logical Semantic Discrimination

no code implementations • 3 Nov 2023 • Weiying Lin, Che Liu, Xin Zhang, Zhen Wei, Sizhe Li, Xun Ma

The process begins with histogram equalization to enhance the original image, followed by the use of Mask RCNN to identify the preliminary positions and outlines of oil tanks, the ground, and areas of potential oil contamination.

Overhead Line Defect Recognition Based on Unsupervised Semantic Segmentation

no code implementations • 2 Nov 2023 • Weixi Wang, Xichen Zhong, Xin Li, Sizhe Li, Xun Ma

Overhead line inspection greatly benefits from defect recognition using visible light imagery.

Segmentation Unsupervised Semantic Segmentation

Transmission line condition prediction based on semi-supervised learning

no code implementations • 30 Oct 2023 • Sizhe Li, Xun Ma, Nan Liu, Yi Jin

Transmission line state assessment and prediction are of great significance for the rational formulation of operation and maintenance strategy and improvement of operation and maintenance level.

Representation Learning