2 papers
cs.CV2026
XTransfer: Modality-Agnostic Few-Shot Model Transfer for Human Sensing at the Edge
Yu Zhang, Xi Zhang, Hualin Zhou +6
Deep learning for human sensing on edge systems presents significant potential for smart applications. However, its training and development are hindered by the limited availabilit…
cs.AI2026
LQA: A Lightweight Quantized-Adaptive Framework for Vision-Language Models on the Edge
Xin Wang, Hong Jia, Hualin Zhou +4
Deploying Vision-Language Models (VLMs) on edge devices is challenged by resource constraints and performance degradation under distribution shifts. While test-time adaptation (TTA…