Submitted by
Gengshan Yang
Authors
Gengshan Yang and Deva Ramanan
Venue
NeurIPS
Abstract
Gengshan Yang and Deva Ramanan. Volumetric Correspondence Networks for Optical Flow, NeurIPS 2019. Submission to RVC. Images are downsampled to 0.6x resolution. Multiple submissions of the same result due to delayed server response.
Runtime
700 ms
External data used
FlyingChairs, FlyingThings3D, Sintel, KITTI, HD1k, Viper, generated GTAV data
Links
Number of submissions
3

Detailed results
WAUC (day) WAUC (sunset) WAUC (rain) WAUC (snow) WAUC (night) Mean WAUC over conditions
71.0 62.2 53.9 61.4 56.0 60.9