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The Certainty Analysis

Towards this, we propose a method that obtains gradient-based certainty estimates that also provide visual attention maps. Particularly, we solve for visual question answering task.

The Certainty Analysis

The Certainty Analysis Analyxis modern probabilistic deep learning methods that we further improve by using the gradients for these estimates. These have two-fold source a improvement in obtaining the certainty estimates that correlate better with misclassified samples and b improved attention maps that provide state-of-the-art results in terms of correlation with human attention regions.

The improved attention maps result in consistent improvement for various methods for visual question answering.

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Therefore, the proposed technique can be thought of as a tool for obtaining improved certainty estimates and explanations for deep learning models. We provide detailed empirical analysis for the visual question answering task here all standard benchmarks and comparison with state of the art methods. Article :. Date of Publication: 08 January PubMed ID: DOI: Need Help?]

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