Neural Image Caption Generation with Visual Attention (discussion) | AISC

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Toronto Deep Learning Series, 12 November 2018

Paper: http://proceedings.mlr.press/v37/xuc15.pdf

Speaker: Waseem Gharbieh (Twenty Billion Neurons GmbH)

Host: Rangle.io
Date: Nov 12th, 2018

Show, Attend and Tell: Neural Image Caption Generation with Visual Attention

Inspired by recent work in machine translation and object detection, we introduce an attention based model that automatically learns to describe the content of images. We describe how we can train this model in a deterministic manner using standard backpropagation techniques and stochastically by maximizing a variational lower bound. We also show through visualization how the model is able to automatically learn to fix its gaze on salient objects while generating the corresponding words in the output sequence. We validate the use of attention with state-of-the art performance on three benchmark datasets: Flickr9k, Flickr30k and MS COCO



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Tags:
machine vision
deep learning
machine learning
ai
toronto
artificial intelligence
canada
visiual attention
image captioning
image captioning deep learning
attention model