The Best of Both Worlds: Combining CNNs and Geometric Constraints for Hierarchical Motion Segmentation

CVPR 2018 Pia BideauAruni RoyChowdhuryRakesh R. MenonErik Learned-Miller

Traditional methods of motion segmentation use powerful geometric constraints to understand motion, but fail to leverage the semantics of high-level image understanding. Modern CNN methods of motion analysis, on the other hand, excel at identifying well-known structures, but may not precisely characterize well-known geometric constraints... (read more)

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