Illustration of the proposed SS-FT framework. (IMAGE)

Journal of Remote Sensing

Illustration of the proposed SS-FT framework.

Caption

Illustration of the proposed SS-FT framework. (A-B) show the overall SS-FT and the model’s dataflow. (C-D) elaborates on the supervised fine-tuning, and the self-supervised contrastive learning processes. For each mini-batch, Lcontra is calculated on positive ”queries” and negative representations stored in the category-wise memory bank on a pixel level.

Credit

Journal of Remote Sensing

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CC BY

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