Chirality Nets for Human Pose Regression

Raymond Yeh, Yuan-Ting Hu, Alexander Schwing

Neural Information Processing Systems 

The proposed layers lead toamore data efficient representation and areduction in computation by exploiting symmetry. We evaluate chirality nets on the task ofhuman poseregression, which naturally exploits theleft/right mirroring ofthe human body.

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