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Unsupervised Domain Adaptation for Self-Driving from Past Traversal Features., , , , , , , and . ICCV (Workshops), page 4042-4048. IEEE, (2023)Self-training For Few-shot Transfer Across Extreme Task Differences., and . ICLR, OpenReview.net, (2021)Task2Sim: Towards Effective Pre-training and Transfer from Synthetic Data., , , , , , , and . CVPR, page 9184-9194. IEEE, (2022)Pre-Training LiDAR-Based 3D Object Detectors Through Colorization., , , , , , , , , and . CoRR, (2023)Coarsely-labeled Data for Better Few-shot Transfer., and . ICCV, page 9032-9041. IEEE, (2021)Distilling from Similar Tasks for Transfer Learning on a Budget., , and . ICCV, page 11397-11407. IEEE, (2023)Pre-training LiDAR-based 3D Object Detectors through Colorization., , , , , , , , , and . ICLR, OpenReview.net, (2024)Reward Finetuning for Faster and More Accurate Unsupervised Object Discovery., , , , , , , , , and . CoRR, (2023)Learning to Detect Mobile Objects from LiDAR Scans Without Labels., , , , , , , and . CVPR, page 1120-1130. IEEE, (2022)Unsupervised Adaptation from Repeated Traversals for Autonomous Driving., , , , , , , and . NeurIPS, (2022)