most citedGlobal and Local Contrastive Self-Supervised Learning for Semantic Segmentation of HR Remote Sensing Images

176 citations · 185 across the 2 of their papers we have counts for

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cs.CV2022★ 9 cited

TOV: The Original Vision Model for Optical Remote Sensing Image Understanding via Self-supervised Learning

Chao Tao, Ji Qia, Guo Zhang +3

Do we on the right way for remote sensing image understanding (RSIU) by training models via supervised data-dependent and task-dependent way, instead of human vision in a label-fre…

cs.CV2021★ 176 cited

Global and Local Contrastive Self-Supervised Learning for Semantic Segmentation of HR Remote Sensing Images

Haifeng Li, Yi Li, Guo Zhang +4

Supervised learning for semantic segmentation requires a large number of labeled samples, which is difficult to obtain in the field of remote sensing. Self-supervised learning (SSL…