Nov 6, 2023 · The paper introduces a novel improvement on deep self-attention networks tailored for this issue. The proposed model comprises four key components.
scholar.google.com › citations
This paper aims to solve the key problem in transformer inspection: high-resolution image recognition, and proposes an improved deep self-attention network ...
High-resolution power equipment recognition based on improved self-attention · no code implementations • 6 Nov 2023 • Siyi Zhang, Cheng Liu ...
Aug 29, 2024 · Drones can capture high-resolution images and data using onboard cameras and multispectral sensors without interrupting the operation of power ...
In this paper, we propose a Physics-Informed Neural Networks (PINNs) with Self-Attention mechanism-based hybrid framework for aircraft engine RUL prognostics.
Missing: resolution | Show results with:resolution
Recent work has shown that self-attention can serve as a basic building block for image recognition models. We explore variations of self-attention and ...
Sep 1, 2023 · A HRRP sequence recognition method based on transformer with temporal–spatial fusion and label smoothing (TSF–transformer–LS) is proposed.
Jun 24, 2024 · The precision and recall scores are also very high, with an average of over 98% across the five folds, indicating the model's strong ability ...
This paper presents a deep learning-based method for defect detection and classification of power distribution lines using video analysis.
This experiment demonstrates the potential of using the self-attention mechanism network for target recognition in ghost imaging, improving the speed of target ...