… human pose estimation. In this paper, we propose the first active learning approach for human
pose estimation (… We follow the general scheme of active learning: an active learner auto…

… Finally, we show experimental results on both human hand and body pose estimation
benchmark datasets and demonstrate that our method significantly outperforms all baselines …

… of pose estimation, a practical application of active learning … human pose estimation problem
by actively collecting unlabelled data from the heat-map output of the Convolutional Pose …

… Human pose estimation aims to locate the human body parts and build human body
representation (eg, body skeleton) from input data such as images and videos. It has drawn …

… people. In this work we consider 3d human pose estimation from the perspective of an
active observer, and operate with an idealization that allows us to distill the active vision concepts, …

… our goal is not to improve human pose estimation but instead detect out-of-distribution samples
for active learning. This allows us to use … Active Learning for Pose Estimation. Challenges …

… Aiming to develop an annotation-efficient algorithm by selecting the most informative
samples to be labeled for human pose estimation, we propose a novel active learning approach …

… data for human pose estimation. We propose an active learning method that automatically
selects images effective for improving the performance of a human pose estimation model …

… image classification, human pose estimation, and object detection. The … Active learning
has advanced for more than a couple of decades. First, we introduce classical active learning …

… In this article, we aim to provide a detailed overview of the existing studies on deep
learning-based human pose estimation. This review has three objectives as follows. 1) Delineate the …