Remote Sensing

This paper proposes MoCoLSK, a modality-conditioned large selective kernel network for high-resolution LST downscaling, and introduces the GrokLST open-source ecosystem.

This paper proposes LSKNet, a lightweight backbone for remote sensing that leverages large selective kernels to dynamically adjust spatial receptive fields, improving performance across various remote sensing tasks.