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cs.CV2026
Multimodal Large Language Models for Remote Sensing Image Understanding: Domain-Specific or General-Purpose?
Qiwei Ma, Chunping Qiu, Xinjun Cheng +5
The rapid development of multimodal large language models (MLLMs) has introduced a flexible paradigm for remote sensing image scene understanding (RSISU), enabling natural-language…
cs.CV2026
ENC-Bench: A Benchmark for Evaluating Multimodal Large Language Models in Electronic Navigational Chart Understanding
Ao Cheng, Xingming Li, Xuanyu Ji +5
Electronic Navigational Charts (ENCs) are the safety-critical backbone of modern maritime navigation, yet it remains unclear whether multimodal large language models (MLLMs) can re…