Articles with "interactive attention" as a keyword



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LIANet: Layer Interactive Attention Network for RGB-D Salient Object Detection

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Published in 2022 at "IEEE Access"

DOI: 10.1109/access.2022.3156935

Abstract: RGB-D salient object detection (SOD) usually describes two modes’ classification or regression problem, namely RGB and depth. The existing RGB-D SOD methods use depth hints to increase the detection performance, meanwhile they focus on the… read more here.

Keywords: network; rgb salient; salient object; interactive attention ... See more keywords
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Gaze Target Estimation Inspired by Interactive Attention

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Published in 2022 at "IEEE Transactions on Circuits and Systems for Video Technology"

DOI: 10.1109/tcsvt.2022.3190314

Abstract: As an essential nonverbal cue, the human gaze reveals human intentions and plays a crucial role in human daily activities. Therefore, automatic detection of the person’s gaze target has drawn the interests of the computer… read more here.

Keywords: gaze; interactive attention; target estimation; gaze target ... See more keywords
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AIA-Net: Adaptive Interactive Attention Network for Text-Audio Emotion Recognition.

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Published in 2022 at "IEEE transactions on cybernetics"

DOI: 10.1109/tcyb.2022.3195739

Abstract: Emotion recognition based on text-audio modalities is the core technology for transforming a graphical user interface into a voice user interface, and it plays a vital role in natural human-computer interaction systems. Currently, mainstream multimodal… read more here.

Keywords: interactive attention; aia net; emotion recognition;

Aligning Eyes between Humans and Deep Neural Network through Interactive Attention Alignment

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Published in 2022 at "Proceedings of the ACM on Human-Computer Interaction"

DOI: 10.1145/3555590

Abstract: While Deep Neural Networks (DNNs) are deriving the major innovations through their powerful automation, we are also witnessing the peril behind automation as a form of bias, such as automated racism, gender bias, and adversarial… read more here.

Keywords: interactive attention; deep neural; attention alignment; model ... See more keywords
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Multiple Interactive Attention Networks for Aspect-Based Sentiment Classification

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Published in 2020 at "Applied Sciences"

DOI: 10.3390/app10062052

Abstract: Aspect-Based (also known as aspect-level) Sentiment Classification (ABSC) aims at determining the sentimental tendency of a particular target in a sentence. With the successful application of the attention network in multiple fields, attention-based ABSC has… read more here.

Keywords: interactive attention; multiple interactive; aspect based; attention ... See more keywords