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Differencing based Self-supervised pretraining for Scene Change Detection. (arXiv:2208.05838v1 [cs.CV])
Aug. 12, 2022, 1:11 a.m. | Vijaya Raghavan T. Ramkumar, Elahe Arani, Bahram Zonooz
cs.CV updates on arXiv.org arxiv.org
Scene change detection (SCD), a crucial perception task, identifies changes
by comparing scenes captured at different times. SCD is challenging due to
noisy changes in illumination, seasonal variations, and perspective differences
across a pair of views. Deep neural network based solutions require a large
quantity of annotated data which is tedious and expensive to obtain. On the
other hand, transfer learning from large datasets induces domain shift. To
address these challenges, we propose a novel \textit{Differencing
self-supervised pretraining (DSP)} method …
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