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Devon: Deformable Volume Network for Learning Optical Flow
2020
2020 IEEE Winter Conference on Applications of Computer Vision (WACV)
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We propose a new neural network module, Deformable Cost Volume, for learning large displacement optical flow. The module does not distort the original images or their feature maps and therefore avoids the artifacts associated with warping. Based on this module, a new neural network model is proposed. The full version of this paper can be found online 5 .
doi:10.1109/wacv45572.2020.9093590
dblp:conf/wacv/LuVWKHT20
fatcat:3jskxvjgqnb3fbzkftkcnvlayu