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Despite progress in vision-based inspection algorithms, real-world industrial challenges -- specifically in data availability, quality, and complex production requirements -- often remain under-addressed.
Cut, paste and learn: Surprisingly easy synthesis for instance detection
Debidatta Dwibedi, Ishan Misra, and Martial Hebert · 2017
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Surface defect saliency of magnetic tile
Yibin Huang, Congying Qiu, Yue Guo, Xiaonan Wang, and Kui Yuan · 2018
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Cascade r-cnn: Delving into high quality object detection
Zhaowei Cai and Nuno Vasconcelos · 2018
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Deep learning for anomaly detection: A survey
Raghavendra Chalapathy and Sanjay Chawla · 2019
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Mvtec ad–a comprehensive real-world dataset for unsupervised anomaly detection
Paul Bergmann, Michael Fauser, David Sattlegger, and Carsten Steger · 2019
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A public fabric database for defect detection methods and results
Javier Silvestre-Blanes, Teresa Albero-Albero, Ignacio Miralles, Ruben Pérez-Llorens, and Jorge Moreno · 2019
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Segmentation-Based Deep-Learning Approach for Surface-Defect Detection
Domen Tabernik, Samo Šela, Jure Skvarč, and Danijel Skočaj · 2019
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Hybrid task cascade for instance segmentation
Kai Chen, Jiangmiao Pang, Jiaqi Wang, Yu Xiong, Xiaoxiao Li, Shuyang Sun, Wansen Feng, Ziwei Liu, Jianping Shi, Wanli Ouyang, Chen Change Loy, and Dahua Lin · 2019
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Analyzing and improving the image quality of stylegan
Tero Karras, Samuli Laine, Miika Aittala, Janne Hellsten, Jaakko Lehtinen, and Timo Aila · 2020
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Training generative adversarial networks with limited data
Tero Karras, Miika Aittala, Janne Hellsten, Samuli Laine, Jaakko Lehtinen, and Timo Aila · 2020
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Hripcb: a challenging dataset for pcb defects detection and classification
Weibo Huang, Peng Wei, Manhua Zhang, and Hong Liu · 2020
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Image-based surface defect detection using deep learning: A review
Prahar M Bhatt, Rishi K Malhan, Pradeep Rajendran, Brual C Shah, Shantanu Thakar, Yeo Jung Yoon, and Satyandra K Gupta · 2021
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Deep learning for anomaly detection: A review
Guansong Pang, Chunhua Shen, Longbing Cao, and Anton Van Den Hengel · 2021
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VT-ADL: A vision transformer network for image anomaly detection and localization
Pankaj Mishra, Riccardo Verk, Daniele Fornasier, Claudio Piciarelli, and Gian Luca Foresti · 2021
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Mixed supervision for surface-defect detection: from weakly to fully supervised learning
Synthetic defect generation for display front-of-screen quality inspection: A survey
Shancong Mou, Meng Cao, Zhendong Hong, Ping Huang, Jiulong Shan, and Jianjun Shi · 2022
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Elevater: A benchmark and toolkit for evaluating language-augmented visual models
Chunyuan Li, Haotian Liu, Liunian Harold Li, Pengchuan Zhang, Jyoti Aneja, Jianwei Yang, Ping Jin, Houdong Hu, Zicheng Liu, Yong Jae Lee, and Jianfeng Gao · 2022
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Roboflow 100: A rich, multi-domain object detection benchmark, 2022
Floriana Ciaglia, Francesco Saverio Zuppichini, Paul Guerrie, Mark McQuade, and Jacob Solawetz · 2022
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Eva: Exploring the limits of masked visual representation learning at scale
Yuxin Fang, Wen Wang, Binhui Xie, Quan Sun, Ledell Wu, Xinggang Wang, Tiejun Huang, Xinlong Wang, and Yue Cao · 2022
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Mask dino: Towards a unified transformer-based framework for object detection and segmentation, 2022
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Jakob Božič, Domen Tabernik, and Danijel Skočaj · 2021
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Self-supervised semi-supervised learning for data labeling and quality evaluation, 2021
Haoping Bai, Meng Cao, Ping Huang, and Jiulong Shan · 2021
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Swin transformer: Hierarchical vision transformer using shifted windows
Ze Liu, Yutong Lin, Yue Cao, Han Hu, Yixuan Wei, Zheng Zhang, Stephen Lin, and Baining Guo · 2021
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A survey on unsupervised industrial anomaly detection algorithms
Yajie Cui, Zhaoxiang Liu, and Shiguo Lian · 2022
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Feng Li, Hao Zhang, Huaizhe xu, Shilong Liu, Lei Zhang, Lionel M. Ni, and Heung-Yeung Shum · 2022
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Cbnet: A composite backbone network architecture for object detection
Tingting Liang, Xiaojie Chu, Yudong Liu, Yongtao Wang, Zhi Tang, Wei Chu, Jingdong Chen, and Haibin Ling · 2022
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Masked-attention mask transformer for universal image segmentation
Bowen Cheng, Ishan Misra, Alexander G. Schwing, Alexander Kirillov, and Rohit Girdhar · 2022
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Adding conditional control to text-to-image diffusion models
Lvmin Zhang and Maneesh Agrawala · 2023
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