leoxiaobin/deep-high-resolution-net.pytorch

Maintains high-resolution representations throughout the network via parallel multi-resolution subnetworks with repeated cross-scale fusion, rather than recovering them from low-resolution features. Built in PyTorch and optimized for NVIDIA GPUs, it achieves superior keypoint localization accuracy on COCO and MPII benchmarks while maintaining lower computational cost than ResNet-based baselines. Supports both top-down pose estimation and integrates with external person detectors for end-to-end pipeline deployment.

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