"Segment Anything in Defect Detection." ArXiv (2023). [paper] [2023.11] UnifiedVisionGPT: Chris Kelly, Luhui Hu, Cindy Yang, Yu Tian, Deshun Yang, Bang Yang, Zaoshan Huang, Zihao Li, Yuexian Zou. "UnifiedVisionGPT: Streamlining Vision-Oriented AI through Generalized Multimodal Framework." ...
To address these challenges, this paper proposes a two-stage distillation-aware adaptive segment anything model to balance efficiency and accuracy in coke image particle size segmentation, referred to as TsDa-ASAM. In the first stage, knowledge distillation methods are employed to distill the Segment...
You, B. Wang Segment anything in medical images Nat. Commun., 15 (2024), p. 654, 10.1038/s41467-024-44824-z View in ScopusGoogle Scholar [41] Y. Li, D. Wang, C. Yuan, H. Li, J. Hu Enhancing agricultural image segmentation with an agricultural segment anything model adapter Sensors...
"Segment Anything in Defect Detection." ArXiv (2023). [paper] [2023.11] UnifiedVisionGPT: Chris Kelly, Luhui Hu, Cindy Yang, Yu Tian, Deshun Yang, Bang Yang, Zaoshan Huang, Zihao Li, Yuexian Zou. "UnifiedVisionGPT: Streamlining Vision-Oriented AI through Generalized Multimodal Framework." ...
Segment anything modelKeypoint matchingVisual anomaly detection is vital in real-world applications, such as industrial defect detection and medical diagnosis. However, most existing methods focus on local structural anomalies and fail to detect higher-level functional anomalies under logical conditions. ...
Recently, Meta AI Research approaches a general, promptable segment anything model (SAM) pre-trained on an unprecedentedly large segmentation dataset (SA-1B). Without a doubt, the emergence of SAM will yield significant benefits for a wide array of practical image segmentation applications. In thi...
"Segment Anything in Defect Detection." ArXiv (2023). [paper] [2023.11] UnifiedVisionGPT: Chris Kelly, Luhui Hu, Cindy Yang, Yu Tian, Deshun Yang, Bang Yang, Zaoshan Huang, Zihao Li, Yuexian Zou. "UnifiedVisionGPT: Streamlining Vision-Oriented AI through Generalized Multimodal Framework." ...
"Segment Anything in Defect Detection." ArXiv (2023). [paper] [2023.11] UnifiedVisionGPT: Chris Kelly, Luhui Hu, Cindy Yang, Yu Tian, Deshun Yang, Bang Yang, Zaoshan Huang, Zihao Li, Yuexian Zou. "UnifiedVisionGPT: Streamlining Vision-Oriented AI through Generalized Multimodal Framework." ...
surface defect detectionsalient object detectionSegment Anything Model(SAM)is a cutting-edge model that has shown impressive performance in general object segmentation.The birth of the segment anything is a groundbreaking step towards creating a universal intelligent model.Due to its superior performance ...
Defects can encompass bit errors, optical signal degrade, or anything which is detectable at some nodes but not at others. So for instance, a node can typically detect a complete loss of optical signal, or a loss of electrical connection, but if it is switching optically without regen, then...