most citedMoA-Off: Adaptive Heterogeneous Modality-Aware Offloading with Edge-Cloud Collaboration for Efficient Multimodal LLM Inference

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cs.CV2026

AIVD: Adaptive Edge-Cloud Collaboration for Accurate and Efficient Industrial Visual Detection

Yunqing Hu, Zheming Yang, Chang Zhao +4

Multimodal large language models (MLLMs) demonstrate exceptional capabilities in semantic understanding and visual reasoning, yet they still face challenges in precise object local…

cs.CV2025

Adaptive Guidance Semantically Enhanced via Multimodal LLM for Edge-Cloud Object Detection

Yunqing Hu, Zheming Yang, Chang Zhao +1

Traditional object detection methods face performance degradation challenges in complex scenarios such as low-light conditions and heavy occlusions due to a lack of high-level sema…