MAgSeg is a decoder-free MLLM approach that uses a new instruction-tuning format to segment complex smallholder agricultural landscapes directly from high-resolution satellite imagery.
Agricultural intensifica- tion and changes in cultivated areas, 1970–2005.Proceed- ings of the national academy of sciences, 106(49):20675– 20680,
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MAgSeg: Segmentation of Agricultural Landscapes in High-Resolution Satellite Imagery using Multimodal Large Language Models
MAgSeg is a decoder-free MLLM approach that uses a new instruction-tuning format to segment complex smallholder agricultural landscapes directly from high-resolution satellite imagery.