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Showing 1 to 3 of 3 for “"Computational attention"”.

  1. Multi-character prediction using attention

    We propose a computational attention approach to localize and classify characters in a sequence in a given image. Our approach combines spatial soft-attention with attention regularization and learns “where-to-look” to carry out the sequence classification task. The image is first passed through a …

    uoit Repository record for Multi-character prediction using attention (opens in a new tab)

  2. Multiscale Quantitative Analytics of Human Visual Searching Tasks

    … and visual searching decisions; and 3) the attention scale to model the relationship between individuals' attention in visual searching and visual searching decisions. The advancements of wearable sensing techniques enable such multiscale quantitative analytics of human visual searching …

    vt Repository record for Multiscale Quantitative Analytics of Human Visual Searching Tasks (opens in a new tab)

  3. Joint spatial and layer attention for convolutional networks

    … that combining the “what” and “where” aspects of attention improves network performance on both tasks. We evaluate our method on standard benchmarks for camera localization (Cambridge, 7-Scenes, and TUM-LSI) and for scene classification (MIT-67 Indoor Scenes). For camera localization our approach …

    uoit Repository record for Joint spatial and layer attention for convolutional networks (opens in a new tab)