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Multihead Self Attention Hand Pose Estimation [PDF]
E3S Web of Conferences, 2020 In This paper, we propose a hand pose estimation neural networks architecture named MSAHP which can improve PCK (percentage correct keypoints) greatly by fusing self-attention module in CNN (Convolutional Neural Networks).
Zhang Zhiqin +3 more
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Self Attention Networks in Speaker Recognition
Applied Sciences, 2023 Recently, there has been a significant surge of interest in Self-Attention Networks (SANs) based on the Transformer architecture. This can be attributed to their notable ability for parallelization and their impressive performance across various Natural ...
Pooyan Safari +2 more
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Knowledge Distillation With Feature Self Attention
IEEE Access, 2023 With the rapid development of deep learning technology, the size and performance of the network continuously grow, making network compression essential for commercial applications.
Sin-Gu Park, Dong-Joong Kang
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Awareness of Self Attention [PDF]
Avant, 2016 Internal sensations, especially organic ones, are not only the foundation of our consciousness of life and self but also an integral part of each feeling.
Jan Górski, Krzysztof Gajda
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Self-supervised Deep Clustering Algorithm Based on Self-attention [PDF]
Jisuanji kexue, 2022 In recent years,deep clustering methods using joint optimization strategy,such as DEC (deep embedding clustering) and DDC (deep denoising clustering) algorithms,have made great progress in image clustering that heavily related to features representation ...
HAN Jie, CHEN Jun-fen, LI Yan, ZHAN Ze-cong
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Pixel Self-Attention Guided Real-Time Instance Segmentation for Group Raised Pigs
Animals, 2023 Instance segmentation is crucial to modern agriculture and the management of pig farms. In practical farming environments, challenges arise due to the mutual adhesion, occlusion, and dynamic changes in body posture among pigs, making accurate ...
Zongwei Jia +5 more
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Learning spatial self‐attention information for visual tracking
IET Image Processing, 2022 Visual object tracking has been a fundamental topic in computer vision and many convolutional neural network (CNN) based trackers proposed in recent years have achieved state‐of‐the‐art performance, multi‐domain convolutional neural network (MDNet) is ...
Shengwu Li +4 more
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Self-Reported Attention Control Skills Moderate the Effect of Self-Focused Attention on Depression
SAGE Open, 2021 This study aimed to examine whether attention control skills (selective, switching, and divided attention) moderate the influence of self-preoccupation (the tendency to maintain self-focused attention) on depression. We conducted a cross-sectional survey
Haruyuki Ishikawa, Fusako Koshikawa
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Self-reported interoceptive accuracy and interoceptive attention differentially correspond to measures of visual attention and self-regard [PDF]
PeerJ, 2023 Background Interoception, the perception of bodily functions and sensations, is a crucial contributor to cognition, emotion, and well-being. However, the relationship between these three processes is not well understood. Further, it is increasingly clear
Erik M. Benau
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Adaptive aggregation with self‐attention network for gastrointestinal image classification
IET Image Processing, 2022 Automatic classification of diseases in endoscopic images is essential to the improvement of diagnostic performance and the reduction of colorectal cancer mortality.
Sheng Li +5 more
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