Efficient attention vision transformers for monocular depth estimation on resource-limited hardware
Sign Up to like & getrecommendations! Published in 2025 at "Scientific Reports"
DOI: 10.1038/s41598-025-06112-8
Abstract: Vision Transformers show important results in the current Deep Learning technological landscape, being able to approach complex and dense tasks, for instance, Monocular Depth Estimation. However, in the transformer architecture, the attention module introduces a… read more here.
Keywords: depth estimation; vision transformers; monocular depth; efficient attention ... See more keywords
Efficient Attention Fusion Network in Wavelet Domain for Demoireing
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3070809
Abstract: When taking pictures of electronic screens or objects with high-frequency textures, people often run across colorful rainbow patterns that are known as “moire”, seriously affecting the image quality and subsequent processing. Current methods for removing… read more here.
Keywords: wavelet; wavelet domain; efficient attention; attention ... See more keywords
Spoof Speech Detection Based on Efficient Attention and Residual Network for Smart Consumer Electronics
Sign Up to like & getrecommendations! Published in 2025 at "IEEE Transactions on Consumer Electronics"
DOI: 10.1109/tce.2025.3610181
Abstract: In recent years, the development of technologies such as Artificial Intelligence and Internet of Things has provided richer interaction content for people’s interaction with smart consumer electronics. However, the traditional touchscreen interaction cannot meet the… read more here.
Keywords: consumer; consumer electronics; efficient attention; smart consumer ... See more keywords
Efficient attention-based networks for fire and smoke detection
Sign Up to like & getrecommendations! Published in 2024 at "Journal of Electronic Imaging"
DOI: 10.1117/1.jei.33.5.053014
Abstract: Abstract. To address limitations in current flame and smoke detection models, including difficulties in handling irregularities, occlusions, large model sizes, and real-time performance issues, this work introduces FS-YOLO, a lightweight attention-based model. FS-YOLO adopts an… read more here.
Keywords: detection; efficient attention; model; attention based ... See more keywords
Polarization-driven Semantic Segmentation via Efficient Attention-bridged Fusion
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DOI: 10.1364/oe.416130
Abstract: Semantic segmentation (SS) is promising for outdoor scene perception in safety-critical applications like autonomous vehicles, assisted navigation and so on. However, traditional SS is primarily based on RGB images, which limits the reliability of SS… read more here.
Keywords: attention bridged; efficient attention; fusion; bridged fusion ... See more keywords