Web: http://arxiv.org/abs/2203.16194

Sept. 22, 2022, 1:14 a.m. | Zhaoyang Huang, Xiaoyu Shi, Chao Zhang, Qiang Wang, Ka Chun Cheung, Hongwei Qin, Jifeng Dai, Hongsheng Li

cs.CV updates on arXiv.org arxiv.org

We introduce optical Flow transFormer, dubbed as FlowFormer, a
transformer-based neural network architecture for learning optical flow.
FlowFormer tokenizes the 4D cost volume built from an image pair, encodes the
cost tokens into a cost memory with alternate-group transformer (AGT) layers in
a novel latent space, and decodes the cost memory via a recurrent transformer
decoder with dynamic positional cost queries. On the Sintel benchmark,
FlowFormer achieves 1.159 and 2.088 average end-point-error (AEPE) on the clean
and final pass, a …

architecture arxiv flow transformer transformer architecture

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