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A Practical Hybrid Active Learning Approach for Human Pose Estimation
(Springer, Cham, 2021-04-10)
Active learning (AL) has not received much attention in deep learning (DL) for human pose estimation. In this paper, a practical hybrid active learning strategy is proposed for training a human pose estimation model, and ...
Contrastive Learning for Generating Optical Coherence Tomography Images of the Retina
(Springer, Cham, 2022-09-21)
As a self-supervised learning technique, contrastive learning is an effective way to learn rich and discriminative representations from data. In this study, we propose a variational autoencoder (VAE) based approach to apply ...