10 papers · 1 filter
CoRe-SAM3: Conditional Semantic--Visual Reconciliation for SAM3 Crack Segmentation
Shipeng Liu, Liang Zhao, Dengfeng Chen
Crack segmentation requires a model to recognize target semantics while accurately recovering thin, low-contrast, and topologically continuous local structures. Although SAM3 provi…
Rapid-Deployment Crack Measurement Based on SAM3 Semantic-Edge Response Decoding
Zhanping Song, Shipeng Liu, Liang Zhao +1
Reliable crack measurement is essential for infrastructure condition assessment, yet existing image-based approaches typically depend on pixel-wise annotations, task-specific segme…
Rethinking Efficient Crack Segmentation with Task-Aligned Structural-Directional Modeling
Shipeng Liu, Liang Zhao, Dengfeng Chen +1
Recent crack segmentation methods often follow generic semantic segmentation designs, using stronger backbones, hybrid CNN-Transformer-Mamba encoders, and auxiliary enhancement bra…
Training-Free Tunnel Defect Inspection and Engineering Interpretation via Visual Recalibration and Entity Reconstruction
Shipeng Liu, Liang Zhao, Dengfeng Chen +1
Tunnel inspection requires outputs that can support defect localization, measurement, severity grading, and engineering documentation. Existing training-free foundation-model pipel…
Describe-to-Score: A text-guided framework for image complexity assessment
Shipeng Liu, Liang Zhao, Dengfeng Chen +1
Accurately assessing image complexity (IC) is essential for many vision tasks, yet existing approaches rely almost exclusively on visual features and therefore fail to capture the…
MATTER: Multiscale Attention for Registration Error Regression
Shipeng Liu, Ziliang Xiong, Khac-Hoang Ngo +1
Point cloud registration (PCR) is crucial for many downstream tasks, such as simultaneous localization and mapping (SLAM) and object tracking. This makes detecting and quantifying…