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1
Published in 2021 at "Cognitive Computation"
DOI: 10.1007/s12559-021-09874-1
Abstract: By selectively enhancing the features extracted from convolution networks, the attention mechanism has shown its effectiveness for low-level visual tasks, especially for image super-resolution (SR). However, due to the spatiotemporal continuity of video sequences, simply…
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Keywords:
video;
attention;
self attention;
attention alignment ... See more keywords
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2
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…
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Keywords:
interactive attention;
deep neural;
attention alignment;
model ... See more keywords