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Found 3 papers, 1 papers with code
Location-free Human Pose Estimation
We reformulate the regression-based HPE from the perspective of classification.
Alleviating Human-level Shift : A Robust Domain Adaptation Method for Multi-person Pose Estimation
Therefore, we propose a novel domain adaptation method for multi-person pose estimation to conduct the human-level topological structure alignment and fine-grained feature alignment.
Multi-Person Pose Estimation with Enhanced Feature Aggregation and Selection
More specifically, a Feature Aggregation and Selection Module (FASM), which constructs hierarchical multi-scale feature aggregation and makes the aggregated features discriminative, is proposed to get more accurate fine-grained representation, leading to more precise joint locations.
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