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cs.CV2024
Deep Bayesian Active Learning-to-Rank with Relative Annotation for Estimation of Ulcerative Colitis Severity
Takeaki Kadota, Hideaki Hayashi, Ryoma Bise +2
Automatic image-based severity estimation is an important task in computer-aided diagnosis. Severity estimation by deep learning requires a large amount of training data to achieve…
cs.CV2022
Deep Bayesian Active-Learning-to-Rank for Endoscopic Image Data
Takeaki Kadota, Hideaki Hayashi, Ryoma Bise +2
Automatic image-based disease severity estimation generally uses discrete (i.e., quantized) severity labels. Annotating discrete labels is often difficult due to the images with am…
cs.CV2021
Famous Companies Use More Letters in Logo:A Large-Scale Analysis of Text Area in Logo
Shintaro Nishi, Takeaki Kadota, Seiichi Uchida
This paper analyzes a large number of logo images from the LLD-logo dataset, by recent deep learning-based techniques, to understand not only design trends of logo images and but a…