# Video Action Classification

TimeSformer is a vision Transformer model based on spatiotemporal attention mechanisms, specifically designed for video classification tasks.

TimeSformer is a video classification model based on spatio-temporal attention mechanism, fine-tuned on the Something Something v2 dataset.

TimeSformer is a video understanding model based on spatio-temporal attention mechanisms. This version is a high-resolution variant fine-tuned on the Something Something v2 dataset.

TimeSformer is a video classification model pretrained on the Kinetics-600 dataset, utilizing a spatiotemporal attention mechanism to process video data.

TimeSformer is a video understanding model based on spatio-temporal attention mechanism, fine-tuned on the Something Something v2 dataset for video classification tasks.

TimeSformer is a video classification model pre-trained on the Kinetics-400 dataset, utilizing a spatiotemporal attention mechanism for video understanding.