# Temporal Modeling

A video understanding model fine-tuned based on MCG-NJU/videomae-base, trained on an unknown dataset

A video understanding model based on the TimeSformer architecture, fine-tuned on an unknown dataset with an accuracy of 88.52%

This model is a video classification model fine-tuned based on facebook/timesformer-base-finetuned-k400, achieving an accuracy of 96.25% on the evaluation set.

A video action recognition model based on TimeSformer architecture, pre-trained on Kinetics-400 dataset and fine-tuned for Olympic sports subset

A video understanding model fine-tuned on an unknown dataset based on the VideoMAE base model, achieving 86.41% accuracy on the evaluation set

A video classification model fine-tuned on a subset of UCF101 based on the VideoMAE base model, achieving 95.22% accuracy