Gesture Recognition on SHREC 17
96.5Accuracy (%)PointGPT-S+CSA
Evaluation results
| Method | Links | |
|---|---|---|
| PointGPT-S+CSAParadigm=Adaptation for Pre-Trained Models2026.02 | 96.5 | |
| PointGPT-S+ATAParadigm=Adaptation for Pre-Trained Models, Adaptation=ATA2026.02 | 96.5 | |
| Point-BERT+ATAParadigm=Adaptation for Pre-Trained Models, Adaptation=ATA2026.02 | 96.4 | |
| Point-BERT+CSAParadigm=Adaptation for Pre-Trained Models2026.02 | 96.2 | |
| Point-MAE+ATAParadigm=Adaptation for Pre-Trained Models, Adaptation=ATA2026.02 | 95.5 | |
| KinetParadigm=Supervised Learning2026.02 | 95.2 | |
| Point-MAE+CSAParadigm=Adaptation for Pre-Trained Models2026.02 | 95.2 | |
| PLSTM-middleParadigm=Supervised Learning2026.02 | 94.7 | |
| PLSTM-earlyParadigm=Supervised Learning2026.02 | 93.5 | |
| PLSTM-lateParadigm=Supervised Learning2026.02 | 93.5 | |
| PointCMPParadigm=Self-Supervised Learning (End-to-End Fine-Tuning)2026.02 | 93.3 | |
| PLSTM-PSSParadigm=Supervised Learning2026.02 | 93.1 | |
| MaST-PreParadigm=Self-Supervised Learning (End-to-End Fine-Tuning)2026.02 | 92.4 | |
| P4Transformer + DiMPFine-tuning Epochs=50, Pre-training dataset=HOI4D2026.05 | 91.4 | |
| P4Transformer + M2PSCFine-tuning Epochs=50, Pre-training dataset=HOI4D2026.05 | 90.5 | |
| P4Transformer + MaST-PreFine-tuning Epochs=50, Pre-training dataset=HOI4D2026.05 | 90.1 | |
| P4TransformerFine-tuning Epochs=50, Pre-training dataset=HOI4D2026.05 | 89.9 | |
| P4Transformer + DiMPFine-tuning Epochs=30, Pre-training dataset=HOI4D2026.05 | 88.2 | |
| P4Transformer + M2PSCFine-tuning Epochs=30, Pre-training dataset=HOI4D2026.05 | 87.9 | |
| PLSTM-baseParadigm=Supervised Learning2026.02 | 87.6 | |
| P4Transformer + MaST-PreFine-tuning Epochs=30, Pre-training dataset=HOI4D2026.05 | 87.3 | |
| P4TransformerFine-tuning Epochs=30, Pre-training dataset=HOI4D2026.05 | 85.9 |