[NeurIPS 2022 Spotlight] VideoMAE for Action Detection
This project is designed to display how we can utilize deep learning methods for Sports Data Analytics.
[NeurIPS'22] VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training
Efficient video action recognition using hybrid techniques: combining ORB, SIFT, and deep models like VideoMAE and (2+1)D Conv to reduce data size while maintaining performance.
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