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20002026
most citedNon-destructive testing and evaluation of composite materials/structures: A state-of-the-art review

567 citations

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33 papers · 1 filter

cs.CV2026

MedP-CLIP: Medical CLIP with Region-Aware Prompt Integration

Jiahui Peng, He Yao, Jingwen Li +9

Contrastive Language-Image Pre-training (CLIP) has demonstrated outstanding performance in global image understanding and zero-shot transfer through large-scale text-image alignmen…

cs.CV2026

ThermoSplat: Cross-Modal 3D Gaussian Splatting with Feature Modulation and Geometry Decoupling

Zhaoqi Su, Shihai Chen, Xinyan Lin +3

Multi-modal scene reconstruction integrating RGB and thermal infrared data is essential for robust environmental perception across diverse lighting and weather conditions. However,…

cs.CV2025★ 15 cited

SGDFuse: SAM-Guided Diffusion Model for High-Fidelity Infrared and Visible Image Fusion

Xiaoyang Zhang, jinjiang Li, Guodong Fan +4

Infrared and visible image fusion (IVIF) is essential for integrating thermal saliency with textural details to support downstream perception. However, most existing approaches suf…

cs.CV2025★ 1 cited

Synthetic-to-Real Camouflaged Object Detection

Zhihao Luo, Luojun Lin, Zheng Lin

Due to the high cost of collection and labeling, there are relatively few datasets for camouflaged object detection (COD). In particular, for certain specialized categories, the av…

cs.CV2025★ 3 cited

A VLM-based Method for Visual Anomaly Detection in Robotic Scientific Laboratories

Shiwei Lin, Chenxu Wang, Xiaozhen Ding +5

In robot scientific laboratories, visual anomaly detection is important for the timely identification and resolution of potential faults or deviations. It has become a key factor i…

cs.CV2025★ 13 cited

AD-Det: Boosting Object Detection in UAV Images with Focused Small Objects and Balanced Tail Classes

Zhenteng Li, Sheng Lian, Dengfeng Pan +2

Object detection in Unmanned Aerial Vehicle (UAV) images poses significant challenges due to complex scale variations and class imbalance among objects. Existing methods often addr…