Keeping Your Eye on the Ball Trajectory Attention in Video Transformers with python
Motionformer This is an official pytorch implementation of paper Keeping Your Eye on the Ball: Trajectory Attention in Video Transformers. In this repository, we provide PyTorch code for training and testing our proposed Motionformer model. Motionformer use proposed trajectory attention to achieve state-of-the-art results on several video action recognition benchmarks such as Kinetics-400 and Something-Something V2. If you find Motionformer useful in your research, please use the following BibTeX entry for citation. @misc{patrick2021keeping, title={Keeping Your Eye on the Ball: Trajectory […]
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