Awesome-Remote-Sensing-Multimodal-Large-Language-Models
A curated collection of papers, datasets and benchmarks for multimodal large language models applied to remote sensing, built around a survey of the field.
This repository accompanies a survey paper on multimodal large language models for remote sensing, collecting model architectures, training pipelines, datasets, evaluation benchmarks and intelligent agents specific to the remote-sensing domain. It focuses on vision-language research and is updated as new work appears.
Its table of contents organizes papers by topic, including multimodal large language models and vision-language pretraining models for remote sensing, survey papers on remote sensing vision-language tasks, and evaluation benchmarks for tasks such as image captioning, aerial video captioning, visual question answering, visual grounding, image-text retrieval and scene classification, alongside separate lists of pretraining-alignment and instruction-tuning datasets.