1 citations · 1 across the 1 of their papers we have counts for
2 papers
cs.CV2021★ 1 cited
Improving the Reliability of Semantic Segmentation of Medical Images by Uncertainty Modeling with Bayesian Deep Networks and Curriculum Learning
Sora Iwamoto, Bisser Raytchev, Toru Tamaki +1
In this paper we propose a novel method which leverages the uncertainty measures provided by Bayesian deep networks through curriculum learning so that the uncertainty estimates ar…
cs.CV2020
Rephrasing visual questions by specifying the entropy of the answer distribution
Kento Terao, Toru Tamaki, Bisser Raytchev +2
Visual question answering (VQA) is a task of answering a visual question that is a pair of question and image. Some visual questions are ambiguous and some are clear, and it may be…