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Do More With What You Have: Transferring Depth-Scale from Labeled to Unlabeled Domains
April 16, 2024, 4:48 a.m. | Alexandra Dana, Nadav Carmel, Amit Shomer, Ofer Manela, Tomer Peleg
cs.CV updates on arXiv.org arxiv.org
Abstract: Transferring the absolute depth prediction capabilities of an estimator to a new domain is a task with significant real-world applications. This task is specifically challenging when images from the new domain are collected without ground-truth depth measurements, and possibly with sensors of different intrinsics. To overcome such limitations, a recent zero-shot solution was trained on an extensive training dataset and encoded the various camera intrinsics. Other solutions generated synthetic data with depth labels that matched …
abstract applications arxiv capabilities cs.cv domain domains eess.iv estimator ground-truth images prediction scale sensors truth type world
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