Article

Lightweight Context-aware Feature Transformer Network for Human Pose Estimation

2024-01-11

Abstract excerpt

We propose Context-aware Feature Transformer Network (CaFTNet), a novel network for human pose estimation. To address the issue of limited modeling of global dependencies in convolutional neural networks, we design Transformerneck to strengthen the expressive power of features. Transformerneck directly substitutes the 3×3 convolution in bottleneck of HRNet with Contextual Transformer (CoT) block, while reducing th...

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Literature Corpus work: faa9a82d-ab5d-5de1-b698-89633ecbbd11
DOI: 10.20944/preprints202401.0836.v1

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