Fetching the paper…
Reading the bibliography…
As automation advances in manufacturing, the demand for precise and sophisticated defect detection technologies grows.
State-space models
James D Hamilton · 1994
Earlier work this paper cites.
Adam: A method for stochastic optimization
Diederik P. Kingma and Jimmy Ba · 2015
Earlier work this paper cites.
Wafer map defect detection and recognition using joint local and nonlocal linear discriminant analysis
Jianbo Yu and Xiaolei Lu · 2015
Earlier work this paper cites.
Deep residual learning for image recognition
Kaiming He, Xiangyu Zhang, Shaoqing Ren, and Jian Sun · 2016
Earlier work this paper cites.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N Gomez, Łukasz Kaiser, and Illia Polosukhin · 2017
Earlier work this paper cites.
The application of one-class classifier based on cnn in image defect detection
Mei Zhang, Jinglan Wu, Huifeng Lin, Peng Yuan, and Yanan Song · 2017
Earlier work this paper cites.
Wire defect recognition of spring-wire socket using multitask convolutional neural networks
Xian Tao, Zihao Wang, Zhengtao Zhang, Dapeng Zhang, De Xu, Xinyi Gong, and Lei Zhang · 2018
Earlier work this paper cites.
A fast and robust convolutional neural network-based defect detection model in product quality control
Tian Wang, Yang Chen, Meina Qiao, and Hichem Snoussi · 2018
Earlier work this paper cites.
Recognition of surface defects on steel sheet using transfer learning
Jingwen Fu, Xiaoyan Zhu, and Yingbin Li · 2019
Earlier work this paper cites.
A multilevel information fusion-based deep learning method for vision-based defect recognition
Yiping Gao, Liang Gao, Xinyu Li, and Xi Vincent Wang · 2019
Earlier work this paper cites.
Ioannis D Apostolopoulos and Mpesiana Tzani · 2020
Earlier work this paper cites.
Retinanet with difference channel attention and adaptively spatial feature fusion for steel surface defect detection
Xun Cheng and Jianbo Yu · 2020
Earlier work this paper cites.
Visual-based defect detection and classification approaches for industrial applications—a survey
Tamás Czimmermann, Gastone Ciuti, Mario Milazzo, Marcello Chiurazzi, Stefano Roccella, Calogero Maria Oddo, and Paolo Dario · 2020
Earlier work this paper cites.
A semi-supervised convolutional neural network-based method for steel surface defect recognition
Yiping Gao, Liang Gao, Xinyu Li, and Xuguo Yan · 2020
Earlier work this paper cites.
Surface defect saliency of magnetic tile
Yibin Huang, Congying Qiu, and Kui Yuan · 2020
Earlier work this paper cites.
Steel surface defect classification using deep residual neural network
Ihor Konovalenko, Pavlo Maruschak, Janette Brezinová, Ján Viňáš, and Jakub Brezina · 2020
Earlier work this paper cites.
Deep metallic surface defect detection: The new benchmark and detection network
Xiaoming Lv, Fajie Duan, Jia-jia Jiang, Xiao Fu, and Lin Gan · 2020
Earlier work this paper cites.
Improved cross pattern approach for steel surface defect recognition
Zoheir Mentouri, Hakim Doghmane, Abdelkrim Moussaoui, and Hocine Bourouba · 2020
Earlier work this paper cites.
Deep learning-based solar-cell manufacturing defect detection with complementary attention network
Binyi Su, Haiyong Chen, Peng Chen, Guibin Bian, Kun Liu, and Weipeng Liu · 2020
Earlier work this paper cites.
Deformable convolutional networks for efficient mixed-type wafer defect pattern recognition
Junliang Wang, Chuqiao Xu, Zhengliang Yang, Jie Zhang, and Xiaoou Li · 2020
Cited alongside, same era.
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
Cited alongside, same era.
Multimodal semi-supervised learning for 3d objects
Zhimin Chen, Longlong Jing, Yang Liang, YingLi Tian, and Bing Li · 2021
Cited alongside, same era.
Unsupervised machine learning via transfer learning and k-means clustering to classify materials image data
Ryan Cohn and Elizabeth Holm · 2021
Cited alongside, same era.
Automated defect recognition on x-ray radiographs of solid propellant using deep learning based on convolutional neural networks
Dhruv Gamdha, Sreedhar Unnikrishnakurup, KJ Jyothir Rose, M Surekha, Padma Purushothaman, Bikash Ghose, and Krishnan Balasubramaniam · 2021
An improved defect recognition framework for casting based on detr algorithm
Long Zhang, Sai-fei Yan, Jun Hong, Qian Xie, Fei Zhou, and Song-lin Ran · 2023
Later among the works it cites.
Style-aware contrastive learning for multi-style image captioning
Yucheng Zhou and Guodong Long · 2023
Later among the works it cites.
Towards robust ranker for text retrieval
Yucheng Zhou, Tao Shen, Xiubo Geng, Chongyang Tao, Can Xu, Guodong Long, Binxing Jiao, and Daxin Jiang · 2023
Later among the works it cites.
A survey on visual anomaly detection: Challenge, approach, and prospect
Yunkang Cao, Xiaohao Xu, Jiangning Zhang, Yuqi Cheng, Xiaonan Huang, Guansong Pang, and Weiming Shen · 2024
Closest in time.
Mambauie&sr: Unraveling the ocean’s secrets with only 2.8 flops, 2024
Zhihao Chen and Yiyuan Ge · 2024
Closest in time.
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
Cited alongside, same era.
Efficiently modeling long sequences with structured state spaces
Albert Gu, Karan Goel, and Christopher Ré · 2021
Cited alongside, same era.
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
Cited alongside, same era.
Training data-efficient image transformers & distillation through attention
Hugo Touvron, Matthieu Cord, Matthijs Douze, Francisco Massa, Alexandre Sablayrolles, and Hervé Jégou · 2021
Cited alongside, same era.
Image recognition of wind turbine blade damage based on a deep learning model with transfer learning and an ensemble learning classifier
Xiyun Yang, Yanfeng Zhang, Wei Lv, and Dong Wang · 2021
Cited alongside, same era.
Automated defect recognition of castings defects using neural networks
Alberto García Pérez, María José Gómez Silva, and A De La Escalera Hueso · 2022
Cited alongside, same era.
State of the art in defect detection based on machine vision
Zhonghe Ren, Fengzhou Fang, Ning Yan, and You Wu · 2022
Cited alongside, same era.
A graph guided convolutional neural network for surface defect recognition
Yucheng Wang, Liang Gao, Yiping Gao, and Xinyu Li · 2022
Cited alongside, same era.
Zhimin Chen, Longlong Jing, Yingwei Li, and Bing Li · 2024
Closest in time.
Cu-mamba: Selective state space models with channel learning for image restoration, 2024
Rui Deng and Tianpei Gu · 2024
Closest in time.
Mamba3d: Enhancing local features for 3d point cloud analysis via state space model, 2024
Xu Han, Yuan Tang, Zhaoxuan Wang, and Xianzhi Li · 2024
Closest in time.
Densemamba: State space models with dense hidden connection for efficient large language models, 2024
Wei He, Kai Han, Yehui Tang, Chengcheng Wang, Yujie Yang, Tianyu Guo, and Yunhe Wang · 2024
Closest in time.
Bi-mamba4ts: Bidirectional mamba for time series forecasting, 2024
Aobo Liang, Xingguo Jiang, Yan Sun, and Chang Lu · 2024
Closest in time.
Vm-unet: Vision mamba unet for medical image segmentation, 2024
Jiacheng Ruan and Suncheng Xiang · 2024
Closest in time.
Large language models for forecasting and anomaly detection: A systematic literature review
Jing Su, Chufeng Jiang, Xin Jin, Yuxin Qiao, Tingsong Xiao, Hongda Ma, Rong Wei, Zhi Jing, Jiajun Xu, and Junhong Lin · 2024
Closest in time.
Integrating mamba and transformer for long-short range time series forecasting, 2024
Xiongxiao Xu, Yueqing Liang, Baixiang Huang, Zhiling Lan, and Kai Shu · 2024
Closest in time.
Medmamba: Vision mamba for medical image classification, 2024
Yubiao Yue and Zhenzhang Li · 2024
Closest in time.
Steel surface defect recognition using classifier combination
Rachid Zaghdoudi, Abdelmalek Bouguettaya, and Adel Boudiaf · 2024
Closest in time.
A survey on visual mamba, 2024
Hanwei Zhang, Ying Zhu, Dan Wang, Lijun Zhang, Tianxiang Chen, and Zi Ye · 2024
Closest in time.
Fine-grained distillation for long document retrieval
Yucheng Zhou, Tao Shen, Xiubo Geng, Chongyang Tao, Jianbing Shen, Guodong Long, Can Xu, and Daxin Jiang · 2024
Closest in time.
Vision mamba: Efficient visual representation learning with bidirectional state space model
Lianghui Zhu, Bencheng Liao, Qian Zhang, Xinlong Wang, Wenyu Liu, and Xinggang Wang · 2024
Closest in time.