Results 21 to 30 of about 3,136,925 (183)
Toward understanding the effectiveness of attention mechanism
AIP Advances, 2023 Attention mechanism (AM) is a widely used method for improving the performance of convolutional neural networks (CNNs) on computer vision tasks. Despite its pervasiveness, we have a poor understanding of what its effectiveness stems from. It is popularly
Xiang Ye, Zihang He, Wang Heng, Yong Li
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Joint Attention Mechanism for Person Re-Identification
IEEE Access, 2019 Although person re-identification (ReID) has drawn increasing research attention due to its potential to address the problem of analysis and processing of massive monitoring data, it is very challenging to learn discriminative information when the people
Shanshan Jiao +5 more
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Persistence pays off: Paying Attention to What the LSTM Gating Mechanism Persists [PDF]
, 2018 Language Models (LMs) are important components in several Natural Language Processing systems. Recurrent Neural Network LMs composed of LSTM units, especially those augmented with an external memory, have achieved state-of-the-art results. However, these
Kelleher, John D., Salton, Giancarlo D.
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Action–based mechanisms of attention
Philosophical Transactions of the Royal Society of London. Series B: Biological Sciences, 1998 Actions, which have effects in the external world, must be spatiotopically represented in the brain. The brain is capable of representing space in many different forms (e.g. retinotopic–, environment–, head– or shoulder–centred), but we maintain that actions are represented in action–centred space, meaning that, at the cellular level, the direction of ...
S P, Tipper, L A, Howard, G, Houghton
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Research progress in attention mechanism in deep learning
工程科学学报, 2021 There are two challenges with the traditional encoder–decoder framework. First, the encoder needs to compress all the necessary information of a source sentence into a fixed-length vector.
Jian-wei LIU, Jun-wen LIU, Xiong-lin LUO
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Object Detection Algorithm Based on Multiheaded Attention
Applied Sciences, 2019 This study proposes a multiheaded object detection algorithm referred to as MANet. The main purpose of the study is to integrate feature layers of different scales based on the attention mechanism and to enhance contextual connections.
Jie Jiang +3 more
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CAPN: a Combine Attention Partial Network for glove detection [PDF]
PeerJ Computer Science, 2023 Accidents caused by operators failing to wear safety gloves are a frequent problem at electric power operation sites, and the inefficiency of manual supervision and the lack of effective supervision methods result in frequent electricity safety accidents.
Feng Yu +4 more
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Attention Mechanism-Based Light-Field View Synthesis
IEEE Access, 2022 The angular information of light lost in conventional images but preserved and stored in light-fields plays an instrumental role in many applications such as depth estimation, 3D reconstruction and post-capture refocusing.
M. Shahzeb Khan Gul +4 more
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Attention mechanisms in the CHREST cognitive architecture [PDF]
, 2008 In this paper, we describe the attention mechanisms in CHREST, a computational architecture of human visual expertise. CHREST organises information acquired by direct experience from the world in the form of chunks.
A. Newell +27 more
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Neuropsychological evidence for three distinct motion mechanisms [PDF]
, 2011 Published in final edited form as: Neurosci Lett. 2011 May 16; 495(2): 102–106. doi:10.1016/j.neulet.2011.03.048.We describe psychophysical performance of two stroke patients with lesions in distinct cortical regions in the left hemisphere.
Dumoulin, Serge O., Vaina, Lucia M.
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