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

@article{Tao2022TOVTO,
  title={TOV: The Original Vision Model for Optical Remote Sensing Image Understanding via Self-supervised Learning},
  author={Chao Tao and Jirong Qia and Guo Zhang and Qing Zhu and Weipeng Lu and Haifeng Li},
  journal={ArXiv},
  year={2022},
  volume={abs/2204.04716}
}
Do we on the right way for remote sensing image understanding (RSIU) by training models via supervised data-dependent and task-dependent way, in-stead of human vision in a label-free and task-independent way? We argue that a more desirable RSIU model should be trained with intrinsic structure from data rather that extrinsic human labels to realize generalizability across a wide range of RSIU tasks. According to this hypothesis, we proposed T he O riginal V ision model (TOV) in remote sensing… 

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