paper-with-me

Classification 벤치마크

Classification on Full-body Parkinson’s disease dataset

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F1-score (weighted)

0.41 0.455 0.5 0.545 0.59 2021-05 2026-09 PD STGCN — 0.48 (2021-05-07) Pose Transformers (POTR) — 0.46 (2021-09-15) Mixste — 0.41 (2022-03-02) MotionBERT — 0.47 (2022-10-12) MotionBERT-LITE — 0.43 (2022-10-12) PoseFormerV2 — 0.59 (2023-03-30) MotionAGFormer — 0.42 (2023-10-25) PD STGCN — 0.48 (2021-05-07) PoseFormerV2 — 0.59 (2023-03-30)
RankModel F1-score (weighted) PaperCodeYear
1 PoseFormerV2 0.59 PoseFormerV2: Exploring Frequency Domain for Efficient and Robust 3D Human Pose Estimation zczcwh/DL-HPE · qitaozhao/poseformerv2 2023
2 PD STGCN 0.48 Estimating Parkinsonism Severity in Natural Gait Videos of Older Adults with Dementia TaatiTeam/stgcn_parkinsonism_prediction · lyqcom/alphapose 2021
3 MotionBERT 0.47 MotionBERT: A Unified Perspective on Learning Human Motion Representations Walter0807/MotionBERT 2022
4 Pose Transformers (POTR) 0.46 Pose Transformers (POTR): Human Motion Prediction with Non-Autoregressive Transformers idiap/potr 2021
5 MotionBERT-LITE 0.43 MotionBERT: A Unified Perspective on Learning Human Motion Representations Walter0807/MotionBERT 2022
6 MotionAGFormer 0.42 MotionAGFormer: Enhancing 3D Human Pose Estimation with a Transformer-GCNFormer Network taatiteam/motionagformer 2023
7 Mixste 0.41 MixSTE: Seq2seq Mixed Spatio-Temporal Encoder for 3D Human Pose Estimation in Video JinluZhang1126/MixSTE 2022
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