Home Console Docs News Papers Tutorials Datasets Wiki SOTA LLM Models GPU Leaderboard Events

English

Classification On Full Body Parkinsons

Metrics

F1-score (weighted)

Results

Performance results of various models on this benchmark

		Paper Title	Repository
PoseFormerV2	0.59	PoseFormerV2: Exploring Frequency Domain for Efficient and Robust 3D Human Pose Estimation
PD STGCN	0.48	Estimating Parkinsonism Severity in Natural Gait Videos of Older Adults with Dementia
MotionBERT	0.47	MotionBERT: A Unified Perspective on Learning Human Motion Representations
Pose Transformers (POTR)	0.46	Pose Transformers (POTR): Human Motion Prediction with Non-Autoregressive Transformers
MotionBERT-LITE	0.43	MotionBERT: A Unified Perspective on Learning Human Motion Representations
MotionAGFormer	0.42	MotionAGFormer: Enhancing 3D Human Pose Estimation with a Transformer-GCNFormer Network
Mixste	0.41	MixSTE: Seq2seq Mixed Spatio-Temporal Encoder for 3D Human Pose Estimation in Video

0 of 7 row(s) selected.

Classification On Full Body Parkinsons | SOTA | HyperAI