Results 11 to 20 of about 3,121,297 (329)
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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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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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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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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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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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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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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Anaphora Resolution Algorithm Based on Multilayer Attention Mechanism [PDF]
Jisuanji gongcheng, 2020 In the information extraction process,the nondeterministic anaphora can cause incomplete information extraction.By analyzing the only discriminate information generated by the anaphoric part,the referenced part,the surrounding information,the referenced ...
LIU Yujiang, FU Lijun, LIU Junming, Lü Pengfei
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Effective Approaches to Attention-based Neural Machine Translation [PDF]
, 2015 An attentional mechanism has lately been used to improve neural machine translation (NMT) by selectively focusing on parts of the source sentence during translation.
Luong, Minh-Thang +2 more
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