Results 1 to 10 of about 1,057,004 (267)
Awareness of Self Attention [PDF]
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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Relative molecule self-attention transformer
The prediction of molecular properties is a crucial aspect in drug discovery that can save a lot of money and time during the drug design process. The use of machine learning methods to predict molecular properties has become increasingly popular in ...
Łukasz Maziarka +7 more
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Multihead Self Attention Hand Pose Estimation [PDF]
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
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
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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Self-supervised Deep Clustering Algorithm Based on Self-attention [PDF]
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
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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Convolutional Self-Attention Networks [PDF]
Self-attention network (SAN) has recently attracted increasing interest due to its fully parallelized computation and flexibility in modeling dependencies. It can be further enhanced with multi-headed attention mechanism by allowing the model to jointly attend to information from different representation subspaces at different positions (Vaswani et al.,
Baosong Yang +4 more
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Self-Attentional Acoustic Models [PDF]
Published at Interspeech ...
Matthias Sperber +4 more
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Learning spatial self‐attention information for visual tracking
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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