Web: http://arxiv.org/abs/2201.11092

Jan. 27, 2022, 2:10 a.m. | Kateryna Chumachenko, Alexandros Iosifidis, Moncef Gabbouj

cs.CV updates on arXiv.org arxiv.org

In this work, we propose several attention formulations for multivariate
sequence data. We build on top of the recently introduced 2D-Attention and
reformulate the attention learning methodology by quantifying the relevance of
feature/temporal dimensions through latent spaces based on self-attention
rather than learning them directly. In addition, we propose a joint
feature-temporal attention mechanism that learns a joint 2D attention mask
highlighting relevant information without treating feature and temporal
representations independently. The proposed approaches can be used in various
architectures …

arxiv attention bag cv features neural self-attention

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