Attention Mechanism-Based Cognition-Level Scene Understanding [PDF]
Given a question–image input, a visual commonsense reasoning (VCR) model predicts an answer with a corresponding rationale, which requires inference abilities based on real-world knowledge.
Xuejiao Tang, Wenbin Zhang
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Image classification model based on large kernel attention mechanism and relative position self-attention mechanism [PDF]
The Transformer has achieved great success in many computer vision tasks. With the in-depth exploration of it, researchers have found that Transformers can better obtain long-range features than convolutional neural networks (CNN). However, there will be
Siqi Liu +3 more
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Surface Defect Detection With Channel-Spatial Attention Modules and Bi-Directional Feature Pyramid
The YOLOv5 network architecture prioritizes speed and efficiency, but this may limit its ability to capture intricate details of complex objects. To solve the problems of insufficient feature extraction ability and incomplete feature fusion in the YOLOv5
Haitao Xin, Kai Zhang
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User Trajectory Identification Model via Attention Mechanism [PDF]
Recently the application of location-based services has gradually become popular.It provides convenience in people's daily life,and also brings a great threat to personal privacy.The existing research shows that,with a large amount of historical ...
LI Hao, CAO Shu-yu, CHEN Ya-qing, ZHANG Min
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Multibranch Attention Mechanism Based on Channel and Spatial Attention Fusion
Recently, it has been demonstrated that the performance of an object detection network can be improved by embedding an attention module into it. In this work, we propose a lightweight and effective attention mechanism named multibranch attention (M3Att).
Guojun Mao +3 more
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Attention mechanism and skip-gram embedded phrases
This article examines common translation errors that occur in the translation of legal texts. In particular, it focuses on how German texts containing legal terminology are rendered into Modern Greek by the Google translation machine.
Panagiotis Krimpas, Christina Valavani
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Enhanced Feature Descriptor Based on Attention Mechanism [PDF]
When the traditional manual method is used to obtain the feature descriptors,it can not guarantee the correct matching of the feature points in the nonlinear deformation state,and can not solve the problem of feature description when the image has large ...
CHEN Jia, HU Haobo, HE Ruhan, HU Xinrong
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Path-Wise Attention Memory Network for Visual Question Answering
Visual question answering (VQA) is regarded as a multi-modal fine-grained feature fusion task, which requires the construction of multi-level and omnidirectional relations between nodes.
Yingxin Xiang +5 more
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Aspect-Based Fashion Recommendation With Attention Mechanism
With the rapid growth of fashion e-commerce, fashion recommendation has become a main digital marketing tool that is built on customer reviews and ratings.
Weiqian Li, Bugao Xu
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Persistence pays off: Paying Attention to What the LSTM Gating Mechanism Persists [PDF]
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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