Computer Vision, Artificial Intelligence, Machine Learning, Data Science, Vision Transformer.
pre-training data and ∼3× smaller model size, and 69.6 top-1 accuracy on Something-Something v2. The results demonstrate the superior performance of the proposed spatiotemporal locality bias approach relative to global self-attention based methods and other vision transformers on video recognition