This paper proposes an improved insulator defect detection method named BS-YOLOv5s based on 3-D attention mechanism and Bi-Slim-neck using YOLOv5s as the base ...
Multi-scale features are fused to make full use of local features and global features, enhance the representation ability of feature maps, and im- prove the ...
Here, a multi‐scale feature fusion and attention based YOLOv5 (MFFA‐YOLOv5) model is proposed. Specifically, the bottom layer features are up‐sampled and fused ...
Oct 22, 2024 · The mAP of YOLO-S is 4.2% higher than that of YOLOv5s, the detection accuracy is improved by 2.1%, and the model parameter computation is ...
A multi-defect detection algorithm for aerial insulators based on improved YOLOv8 is proposed. The algorithm first changed the FPN structure to BiFPN.
We propose an enhanced insulator defect detection algorithm, ML-YOLOv5, based on the YOLOv5 network. The backbone module incorporates depthwise separable ...
Missing: BS- | Show results with:BS-
Jan 15, 2024 · Deformable DETR employs a multi- scale self-attention mechanism, allowing it to select feature points at different levels and scales ...
Apr 25, 2024 · Insulator defect detection plays a vital role in maintaining the secure operation of power systems. To address the issues of the difficulty ...
Missing: BS- | Show results with:BS-
BS-YOLOv5s: Insulator Defect Detection with Attention Mechanism and Multi-Scale Fusion. In Proceedings of the 2023 IEEE International Conference on Image ...
BS-YOLOv5s: Insulator Defect Detection with Attention Mechanism and Multi-Scale Fusion · Engineering, Computer Science. 2023 IEEE International Conference on ...