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Zero-Shot Anomaly Detection (ZSAD) is an emerging AD paradigm.
Anomalygpt: Detecting industrial anomalies using large vision-language models
Zhaopeng Gu, Bingke Zhu, Guibo Zhu, Yingying Chen, Ming Tang, and Jinqiao Wang · 1940
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Rouge: A package for automatic evaluation of summaries
Chin-Yew Lin · 2004
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Microsoft coco: Common objects in context
Tsung-Yi Lin, Michael Maire, Serge Belongie, James Hays, Pietro Perona, Deva Ramanan, Piotr Dollár, and C Lawrence Zitnick · 2014
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Brain tumor detection using mri images
Pranita Balaji Kanade and PP Gumaste · 2015
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SGDR: Stochastic gradient descent with warm restarts
Ilya Loshchilov and Frank Hutter · 2017
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Head ct - hemorrhage, 2018
Felipe Campos Kitamura · 2018
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Anomaly detection for medical images based on a one-class classification
Qi Wei, Yinhao Ren, Rui Hou, Bibo Shi, Joseph Y Lo, and Lawrence Carin · 2018
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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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Automatic classification of defective photovoltaic module cells in electroluminescence images
Sergiu Deitsch, Vincent Christlein, Stephan Berger, Claudia Buerhop-Lutz, Andreas Maier, Florian Gallwitz, and Christian Riess · 2019
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Bert: Pre-training of deep bidirectional transformers for language understanding, 2019
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2019
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Roberta: A robustly optimized bert pretraining approach, 2019
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov · 2019
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Decoupled weight decay regularization
Ilya Loshchilov and Frank Hutter · 2019
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Sentence-bert: Sentence embeddings using siamese bert-networks, 2019
Nils Reimers and Iryna Gurevych · 2019
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A public fabric database for defect detection methods and results
Javier Silvestre-Blanes, Teresa Albero-Albero, Ignacio Miralles, Rubén Pérez-Llorens, and Jorge Moreno · 2019
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Uninformed students: Student-teacher anomaly detection with discriminative latent embeddings
Paul Bergmann, Michael Fauser, David Sattlegger, and Carsten Steger · 2020
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Br35h: Brain tumor detection 2020, 2020
Ahmed Hamada · 2020
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An image is worth 16x16 words: Transformers for image recognition at scale
Alexey Dosovitskiy, Lucas Beyer, Alexander Kolesnikov, Dirk Weissenborn, Xiaohua Zhai, Thomas Unterthiner, Mostafa Dehghani, Matthias Minderer, Georg Heigold, Sylvain Gelly, Jakob Uszkoreit, and Neil Houlsby · 2021
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Deep learning for medical anomaly detection–a survey
Tharindu Fernando, Harshala Gammulle, Simon Denman, Sridha Sridharan, and Clinton Fookes · 2021
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Madgan: Unsupervised medical anomaly detection gan using multiple adjacent brain mri slice reconstruction
Changhee Han, Leonardo Rundo, Kohei Murao, Tomoyuki Noguchi, Yuki Shimahara, Zoltán Ádám Milacski, Saori Koshino, Evis Sala, Hideki Nakayama, and Shin’ichi Satoh · 2021
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Divide-and-assemble: Learning block-wise memory for unsupervised anomaly detection
Jinlei Hou, Yingying Zhang, Qiaoyong Zhong, Di Xie, Shiliang Pu, and Hong Zhou · 2021
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Deep learning-based defect detection of metal parts: evaluating current methods in complex conditions
Stepan Jezek, Martin Jonak, Radim Burget, Pavel Dvorak, and Milos Skotak · 2021
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Cutpaste: Self-supervised learning for anomaly detection and localization
Chun-Liang Li, Kihyuk Sohn, Jinsung Yoon, and Tomas Pfister · 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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Learning transferable visual models from natural language supervision
Alec Radford, Jong Wook Kim, Chris Hallacy, Aditya Ramesh, Gabriel Goh, Sandhini Agarwal, Girish Sastry, Amanda Askell, Pamela Mishkin, Jack Clark, et al · 2021
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Draem-a discriminatively trained reconstruction embedding for surface anomaly detection
Vitjan Zavrtanik, Matej Kristan, and Danijel Skočaj · 2021
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Anomaly detection for medical images using self-supervised and translation-consistent features
He Zhao, Yuexiang Li, Nanjun He, Kai Ma, Leyuan Fang, Huiqi Li, and Yefeng Zheng · 2021
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The mvtec 3d-ad dataset for unsupervised 3d anomaly detection and localization
Paul Bergmann, Xin Jin, David Sattlegger, and Carsten Steger · 2022
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Deep one-class classification via interpolated gaussian descriptor
Yuanhong Chen, Yu Tian, Guansong Pang, and Gustavo Carneiro · 2022
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Anomaly detection via reverse distillation from one-class embedding
Hanqiu Deng and Xingyu Li · 2022
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Registration based few-shot anomaly detection
Chaoqin Huang, Haoyan Guan, Aofan Jiang, Ya Zhang, Michael Spratling, and Yan-Feng Wang · 2022
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Blip: Bootstrapping language-image pre-training for unified vision-language understanding and generation
Junnan Li, Dongxu Li, Caiming Xiong, and Steven Hoi · 2022
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Adversarially robust one-class novelty detection
Shao-Yuan Lo, Poojan Oza, and Vishal M Patel · 2022
Cited alongside, same era.
Learn to explain: Multimodal reasoning via thought chains for science question answering
Pan Lu, Swaroop Mishra, Tanglin Xia, Liang Qiu, Kai-Wei Chang, Song-Chun Zhu, Oyvind Tafjord, Peter Clark, and Ashwin Kalyan · 2022
Cited alongside, same era.
Towards total recall in industrial anomaly detection
Destseg: Segmentation guided denoising student-teacher for anomaly detection
Xuan Zhang, Shiyu Li, Xi Li, Ping Huang, Jiulong Shan, and Ting Chen · 2023
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Bmad: Benchmarks for medical anomaly detection
Jinan Bao, Hanshi Sun, Hanqiu Deng, Yinsheng He, Zhaoxiang Zhang, and Xingyu Li · 2024
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Emotion-llama: Multimodal emotion recognition and reasoning with instruction tuning
Zebang Cheng, Zhi-Qi Cheng, Jun-Yan He, Jingdong Sun, Kai Wang, Yuxiang Lin, Zheng Lian, Xiaojiang Peng, and Alexander Hauptmann · 2024
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Simclip: Refining image-text alignment with simple prompts for zero-/few-shot anomaly detection
Chenghao Deng, Haote Xu, Xiaolu Chen, Haodi Xu, Xiaotong Tu, Xinghao Ding, and Yue Huang · 2024
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Chatpose: Chatting about 3d human pose
Yao Feng, Jing Lin, Sai Kumar Dwivedi, Yu Sun, Priyanka Patel, and Michael J Black · 2024
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Karsten Roth, Latha Pemula, Joaquin Zepeda, Bernhard Schölkopf, Thomas Brox, and Peter Gehler · 2022
Cited alongside, same era.
Chain-of-thought prompting elicits reasoning in large language models
Jason Wei, Xuezhi Wang, Dale Schuurmans, Maarten Bosma, Fei Xia, Ed Chi, Quoc V Le, Denny Zhou, et al · 2022
Cited alongside, same era.
Diffusion models for medical anomaly detection
Julia Wolleb, Florentin Bieder, Robin Sandkühler, and Philippe C Cattin · 2022
Cited alongside, same era.
A unified model for multi-class anomaly detection
Zhiyuan You, Lei Cui, Yujun Shen, Kai Yang, Xin Lu, Yu Zheng, and Xinyi Le · 2022
Cited alongside, same era.
Learning to prompt for vision-language models
Kaiyang Zhou, Jingkang Yang, Chen Change Loy, and Ziwei Liu · 2022
Cited alongside, same era.
Spot-the-difference self-supervised pre-training for anomaly detection and segmentation
Yang Zou, Jongheon Jeong, Latha Pemula, Dongqing Zhang, and Onkar Dabeer · 2022
Cited alongside, same era.
Anomaly detection under distribution shift
Tri Cao, Jiawen Zhu, and Guansong Pang · 2023
Cited alongside, same era.
Google · 2024
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Yuxiang Guo, Faizan Siddiqui, Yang Zhao, Rama Chellappa, and Shao-Yuan Lo · 2024
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Learning unified reference representation for unsupervised multi-class anomaly detection
Liren He, Zhengkai Jiang, Jinlong Peng, Liang Liu, Qiangang Du, Xiaobin Hu, Wenbing Zhu, Mingmin Chi, Yabiao Wang, and Chengjie Wang · 2024
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Long-tailed anomaly detection with learnable class names
Chih-Hui Ho, Kuan-Chuan Peng, and Nuno Vasconcelos · 2024
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Adapting visual-language models for generalizable anomaly detection in medical images
Chaoqin Huang, Aofan Jiang, Jinghao Feng, Ya Zhang, Xinchao Wang, and Yanfeng Wang · 2024
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Towards open-world object-based anomaly detection via self-supervised outlier synthesis
Brian KS Isaac-Medina, Yona Falinie A Gaus, Neelanjan Bhowmik, and Toby P Breckon · 2024
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Text-guided variational image generation for industrial anomaly detection and segmentation
Mingyu Lee and Jongwon Choi · 2024
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Video anomaly detection and explanation via large language models
Hui Lv and Qianru Sun · 2024
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Gpt-4o system card, 2024
OpenAI · 2024
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Maeday: Mae for few-and zero-shot anomaly-detection
Eli Schwartz, Assaf Arbelle, Leonid Karlinsky, Sivan Harary, Florian Scheidegger, Sivan Doveh, and Raja Giryes · 2024
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Robovqa: Multimodal long-horizon reasoning for robotics
Pierre Sermanet, Tianli Ding, Jeffrey Zhao, Fei Xia, Debidatta Dwibedi, Keerthana Gopalakrishnan, Christine Chan, Gabriel Dulac-Arnold, Sharath Maddineni, Nikhil J Joshi, et al · 2024
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Generalad: Anomaly detection across domains by attending to distorted features
Luc PJ Sträter, Mohammadreza Salehi, Efstratios Gavves, Cees GM Snoek, and Yuki M Asano · 2024
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Face-mllm: A large face perception model, 2024
Haomiao Sun, Mingjie He, Tianheng Lian, Hu Han, and Shiguang Shan · 2024
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Qwen2-vl: Enhancing vision-language model’s perception of the world at any resolution, 2024
Peng Wang, Shuai Bai, Sinan Tan, Shijie Wang, Zhihao Fan, Jinze Bai, Keqin Chen, Xuejing Liu, Jialin Wang, Wenbin Ge, Yang Fan, Kai Dang, Mengfei Du, Xuancheng Ren, Rui Men, Dayiheng Liu, Chang Zhou, Jingren Zhou, and Junyang Lin · 2024
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Emovit: Revolutionizing emotion insights with visual instruction tuning
Hongxia Xie, Chu-Jun Peng, Yu-Wen Tseng, Hung-Jen Chen, Chan-Feng Hsu, Hong-Han Shuai, and Wen-Huang Cheng · 2024
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Follow the rules: reasoning for video anomaly detection with large language models
Yuchen Yang, Kwonjoon Lee, Behzad Dariush, Yinzhi Cao, and Shao-Yuan Lo · 2024
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Toward generalist anomaly detection via in-context residual learning with few-shot sample prompts
Jiawen Zhu and Guansong Pang · 2024
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Adaclip: Adapting clip with hybrid learnable prompts for zero-shot anomaly detection
Yunkang Cao, Jiangning Zhang, Luca Frittoli, Yuqi Cheng, Weiming Shen, and Giacomo Boracchi · 2025
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Transfusion–a transparency-based diffusion model for anomaly detection
Matic Fučka, Vitjan Zavrtanik, and Danijel Skočaj · 2025
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Reason2drive: Towards interpretable and chain-based reasoning for autonomous driving
Ming Nie, Renyuan Peng, Chunwei Wang, Xinyue Cai, Jianhua Han, Hang Xu, and Li Zhang · 2025
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An incremental unified framework for small defect inspection
Jiaqi Tang, Hao Lu, Xiaogang Xu, Ruizheng Wu, Sixing Hu, Tong Zhang, Tsz Wa Cheng, Ming Ge, Ying-Cong Chen, and Fugee Tsung · 2025
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Funqa: Towards surprising video comprehension
Binzhu Xie, Sicheng Zhang, Zitang Zhou, Bo Li, Yuanhan Zhang, Jack Hessel, Jingkang Yang, and Ziwei Liu · 2025
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Filo: Zero-shot anomaly detection by fine-grained description and high-quality localization
Zhaopeng Gu, Bingke Zhu, Guibo Zhu, Yingying Chen, Hao Li, Ming Tang, and Jinqiao Wang · 2049
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