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.
Seg- former: Simple and efficient design for semantic segmen- tation with transformers.Advances in neural information processing systems, 34:12077–12090
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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.