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Published in 2023 at "IEEE Signal Processing Letters"
DOI: 10.1109/lsp.2023.3262059
Abstract: Bilinear pooling is a feature aggregation step applied after the convolutional layers of a deep network and encodes a matrix of local features into a fixed-size bilinear representation. It improves performance in many image classification…
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Keywords:
bilinear pooling;
square rooted;
rooted matrix;
normalization ... See more keywords
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Published in 2022 at "IEEE transactions on neural networks and learning systems"
DOI: 10.1109/tnnls.2022.3161969
Abstract: RGB-T tracker possesses strong capability of fusing two different yet complementary target observations, thus providing a promising solution to fulfill all-weather tracking in intelligent transportation systems. Existing convolutional neural network (CNN)-based RGB-T tracking methods often…
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Keywords:
based bilinear;
rgb;
bilinear pooling;
attention based ... See more keywords
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Published in 2022 at "PeerJ Computer Science"
DOI: 10.7717/peerj-cs.974
Abstract: Bilinear pooling (BLP) refers to a family of operations recently developed for fusing features from different modalities predominantly for visual question answering (VQA) models. Successive BLP techniques have yielded higher performance with lower computational expense,…
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Keywords:
fusion;
motivational drift;
bilinear pooling;
video ... See more keywords