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/tjiiv-cprg/ EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation

Code Link
https://github.com/tjiiv-cprg/epro-pnp
Description
The 2D-3D coordinates and corresponding weights are treated as intermediate variables learned by minimizing the KL divergence between the predicted and target pose distribution. Code: https://github.com/tjiiv-cprg/epro-pnp
Retrieved
2022/06/22
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