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Compressing Convolutional Neural Networks in the Frequency Domain.

, , , , и . KDD, стр. 1475-1484. ACM, (2016)

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Parallel Inversion of Neural Radiance Fields for Robust Pose Estimation., , , , , , , и . ICRA, стр. 9377-9384. IEEE, (2023)6-DoF Pose Estimation of Household Objects for Robotic Manipulation: An Accessible Dataset and Benchmark., , , , , , и . IROS, стр. 13081-13088. IEEE, (2022)MegaPose: 6D Pose Estimation of Novel Objects via Render & Compare., , , , , , , , , и . CoRL, том 205 из Proceedings of Machine Learning Research, стр. 715-725. PMLR, (2022)BundleSDF: Neural 6-DoF Tracking and 3D Reconstruction of Unknown Objects., , , , , , , , и . CVPR, стр. 606-617. IEEE, (2023)Compressing Convolutional Neural Networks in the Frequency Domain., , , , и . KDD, стр. 1475-1484. ACM, (2016)Marginalizing Corrupted Features., , , и . CoRR, (2014)Single-Stage Keypoint- Based Category-Level Object Pose Estimation from an RGB Image., , , , и . ICRA, стр. 1547-1553. IEEE, (2022)Keypoint-Based Category-Level Object Pose Tracking from an RGB Sequence with Uncertainty Estimation., , , , и . ICRA, стр. 1258-1264. IEEE, (2022)Importance Estimation for Neural Network Pruning., , , , и . CVPR, стр. 11264-11272. Computer Vision Foundation / IEEE, (2019)GA3C: GPU-based A3C for Deep Reinforcement Learning., , , , и . CoRR, (2016)