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Current 6D object pose estimation methods consist of Deep Convolutional Neural Networks fully optimized for a single object but with its architecture standardized among objects with different shapes. In contrast to previous works, we explicitly exploit ea
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Accurate 6D Object Pose Estimation By Pose Conditioned Mesh Reconstruction
Current 6D object pose estimation methods consist of Deep Convolutional Neural Networks fully optimized for a single object but with its architecture standardized among objects with different shapes. In contrast to previous works, we explicitly exploit ea