CRAFT: Cross-Attentional Flow Transformer for Robust Optical Flow

Author:

Sui Xiuchao1,Li Shaohua1,Geng Xue2,Wu Yan2,Xu Xinxing1,Liu Yong1,Goh Rick1,Zhu Hongyuan2

Affiliation:

1. Institute of High Performance Computing,A *STAR

2. Institute for Infocomm Research,A *STAR

Publisher

IEEE

Reference47 articles.

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2. Raft: Recurrent all-pairs field transforms for optical flow;teed;European Conference on Com- Puter Vision,2020

3. SMURF: Self-Teaching Multi-Frame Unsupervised RAFT with Full-Image Warping

4. Outra-geously large neural networks: The sparsely-gated mixture-of-experts layer;shazeer;ICLRE,2017

5. On the integration of optical flow and action recognition;sevilla-lara;German Conference on Pattern Recognition,2018

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