Mar 12, 2021 · In this paper, we design a novel scale-aware network with attentional selection that extracts multi-scale semantic information and meaningful features.

Nov 21, 2024 · In this paper, we design a novel scale-aware network with attentional selection that extracts multi-scale semantic information and meaningful ...

A novel framework, termed as Deeply Learned Compositional Model (DLCM), is introduced, which exploits deep neural networks to learn the compositionality of ...

Scale-Aware Network with Attentional Selection for Human Pose Estimation. https://doi.org/10.1007/978-3-030-70626-5_35 ·. Journal: Human Centered Computing ...

The performance of multi-person pose estimation has significantly improved with the development of deep convolutional neural networks.

This multi-scale supervision enables effective learning of multi-scale features that can better capture local contextual features of the body keypoints. In addi ...

Aug 22, 2023 · This paper proposes the SSA Net, which aims to enhance the detection accuracy of small-scale persons as much as possible while maintaining a balanced ...

Oct 8, 2023 · This paper proposes a new multi-person pose estimation model called FSA Net to improve the modelʼs performance in complex scenes.

We develop a robust multi-scale structure-aware neural network for human pose estimation. This method improves the recent deep conv-deconv hourglass models ...

Apr 5, 2024 · The inclusion of the Scale-Awareness module improves estimation accuracy, promoting advancements in real-time MPE. Nevertheless, there is still ...