Task-Aware Active Learning for Endoscopic Image Analysis. (arXiv:2204.03440v1 [cs.CV])

Semantic segmentation of polyps and depth estimation are two important
research problems in endoscopic image analysis. One of the main obstacles to
conduct research on these research problems is lack of annotated data.
Endoscopic annotations necessitate the specialist knowledge of expert
endoscopists and due to this, it can be difficult to organise, expensive and
time consuming. To address this problem, we investigate an active learning
paradigm to reduce the number of training examples by selecting the most
discriminative and diverse …

active learning analysis arxiv cv image learning