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Found 4 papers, 4 papers with code
DPMesh: Exploiting Diffusion Prior for Occluded Human Mesh Recovery
The recovery of occluded human meshes presents challenges for current methods due to the difficulty in extracting effective image features under severe occlusion.
Window Stacking Meta-Models for Clinical EEG Classification
Windowing is a common technique in EEG machine learning classification and other time series tasks.
CA-Jaccard: Camera-aware Jaccard Distance for Person Re-identification
In particular, Jaccard distance calculates the distance based on the overlap of relevant neighbors.
Scope and Arbitration in Machine Learning Clinical EEG Classification
A key task in clinical EEG interpretation is to classify a recording or session as normal or abnormal.
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