Visual Interest Prediction with Attentive Multi-Task Transfer Learning

Deepanway Ghosal; Maheshkumar H. Kolekar

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arXiv · 2005.12770

Visual Interest Prediction with Attentive Multi-Task Transfer Learning

Deepanway Ghosal·Maheshkumar H. Kolekar

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Abstract

Visual interest & affect prediction is a very interesting area of research in the area of computer vision. In this paper, we propose a transfer learning and attention mechanism based neural network model to predict visual interest & affective dimensions in digital photos. Learning the multi-dimensional affects is addressed through a multi-task learning framework. With various experiments we show the effectiveness of the proposed approach. Evaluation of our model on the benchmark dataset shows large improvement over current state-of-the-art systems.

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BibTeX RIS

Deepanway Ghosal, Maheshkumar H. Kolekar. 2020-05-26. Visual Interest Prediction with Attentive Multi-Task Transfer Learning. https://arxiv.org/abs/2005.12770

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