VideoBadminton

Qi Li ¹, Tzu-Chen Chiu ², Hsiang-Wei Huang ², Min-Te Sun², Wei-Shinn Ku ¹

¹ Auburn University Auburn, United States, ² National Central University Taoyuan City, Taiwan

Dataset

Our dataset is available at VideoBadminton.

ModelZoo

| Methods | Backbone | Top1 Acc | Top5 Acc | Mean Cls Acc | Models trained on VideoBadminton | |------------|--------------|----------|----------|--------------|--------------| | R(2+1)D| ResNet2Plus1d| 79.53% | 96.11% | 66.97% | R(2+1)D| | SlowFast| ResNet3dSlowFast| 82.80% | 97.54% | 73.80% | SlowFast| | TimeSformer| TimeSformer| 73.18% | 94.78% | 57.70% |TimeSformer | | Swim | SwinTransformer3D| 81.99% | 96.52% | 69.93% | Swim| | MViT-V2| MViT | 14.23% | 62.23% | 10.76% |MViT-V2 | | ST-GCN | RecognizerGCN| 74.41% | 93.76% | 61.44% | ST-GCN| | PoseC3D | Recognizer3D| 80.76% | 96.01% | 67.18% | PoseC3D|

Notes:

1. The train and validation sets are split as follows:

• Badminton Train split

• Badminton Validation split

Citation