Graph Neural Operators (GNOs) provide flexible surrogate models for learning solution operators of partial differential equations (PDEs). However, standard GNOs typically parameterize the integral kernel with a monolithic neural network and evaluate kernel interactions over graph edges, leading to substantial computati...
Xiao-Ming Zhang, Bo-Yue Wang, Jun-Bin Gao et al.· 0 citations
Experimental results show that the approach outperforms the state-of-the-art on the Pancreas-CT dataset by a large margin and enables rapid transfer learning from 2D-pretrained models to 3D medical tasks with few labeled data, making it especially valuable for rare disease diagnosis.
Ruize Shi, Xiao-Yan Li, Bo-Yue Wang et al.· International Conference on...· 0 citations
TLD-YOLO is proposed, an enhanced object detection framework built upon the YOLOv5 baseline for fast and accurate transmission line defect inspection, which incorporates four key architectural improvements that demonstrate a favorable trade-off between accuracy and efficiency for UAV-based TLD inspection in complex env...
Sheng-Li Du, Cong Guo, Wei Lou et al.· Journal of Real-Time Image P...· 0 citations
This work proposes CounterfactualLVLM, a training-free and plug-and-play framework that mitigates object hallucinations via small-model-assisted counterfactual reasoning and highlights the power of counterfactual guidance as a simple yet effective paradigm for enhancing factual grounding in LVLM-based multi-modal reaso...
Xilin Li, Bo-Yue Wang, Xiao-Qian Ju et al.· Multimedia Systems· 0 citations
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