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Task2Sim : Towards Effective Pre-training and Transfer from Synthetic Data.

, , , , , , , и . CoRR, (2021)

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Shaw-Jiin Perng

Sivawan Phoolphundh

Ditchaphong Phoomikiattisak

Cheng-Yung Cheng

Perng-Rerng Lai

 

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Remote Sensing Vision-Language Foundation Models without Annotations via Ground Remote Alignment., , , , , и . CoRR, (2023)Self-training For Few-shot Transfer Across Extreme Task Differences., и . ICLR, OpenReview.net, (2021)Task2Sim : Towards Effective Pre-training and Transfer from Synthetic Data., , , , , , , и . CoRR, (2021)Coarsely-labeled Data for Better Few-shot Transfer., и . ICCV, стр. 9032-9041. IEEE, (2021)Distilling from Similar Tasks for Transfer Learning on a Budget., , и . ICCV, стр. 11397-11407. IEEE, (2023)Unsupervised Domain Adaptation for Self-Driving from Past Traversal Features., , , , , , , и . ICCV (Workshops), стр. 4042-4048. IEEE, (2023)Pre-Training LiDAR-Based 3D Object Detectors Through Colorization., , , , , , , , , и . CoRR, (2023)Unsupervised Adaptation from Repeated Traversals for Autonomous Driving., , , , , , , и . CoRR, (2023)Task2Sim: Towards Effective Pre-training and Transfer from Synthetic Data., , , , , , , и . CVPR, стр. 9184-9194. IEEE, (2022)Learning to Detect Mobile Objects from LiDAR Scans Without Labels., , , , , , , и . CVPR, стр. 1120-1130. IEEE, (2022)