Automated Detection of Defects on Metal Surfaces using Vision Transformers

6 October 2024

Toqa Alaa

Mostafa Kotb

Arwa Zakaria

Mariam Diab

Walid Gomaa

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Papers citing "Automated Detection of Defects on Metal Surfaces using Vision Transformers"

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$K^2$ VAE: A Koopman-Kalman Enhanced Variational AutoEncoder for Probabilistic Time Series Forecasting Xingjian Wu Xiangfei Qiu Hongfan Gao Jilin Hu Bin Yang Chenjuan Guo AI4TS 26 1 0 29 May 2025
Temporal Query Network for Efficient Multivariate Time Series Forecasting Shengsheng Lin Haojun Chen Haijie Wu Chunyun Qiu Weiwei Lin AI4TS 64 0 0 19 May 2025
Efficient Multivariate Time Series Forecasting via Calibrated Language Models with Privileged Knowledge Distillation Chenxi Liu Hao Miao Qianxiong Xu Shaowen Zhou Cheng Long Yan Zhao Ziyue Li Rui Zhao AI4TS 98 6 0 04 May 2025
Deep Frequency Derivative Learning for Non-stationary Time Series Forecasting Wei Fan Kun Yi Hangting Ye Zhiyuan Ning Qi Zhang Ning An AI4TS 76 9 0 29 Jun 2024
TimeMixer: Decomposable Multiscale Mixing for Time Series Forecasting Shiyu Wang Haixu Wu Xiaoming Shi Tengge Hu Huakun Luo Lintao Ma James Y. Zhang Jun-ping Zhou AI4TS 100 131 0 23 May 2024
SparseTSF: Modeling Long-term Time Series Forecasting with 1k Parameters Shengsheng Lin Weiwei Lin Wentai Wu Haojun Chen Junjie Yang 52 44 0 02 May 2024
A Unified Replay-based Continuous Learning Framework for Spatio-Temporal Prediction on Streaming Data Hao Miao Yan Zhao Chenjuan Guo Bin Yang Kai Zheng Feiteng Huang Jiandong Xie Christian S. Jensen AI4TS CLL 67 36 0 23 Apr 2024
TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods Xiangfei Qiu Jilin Hu Lekui Zhou Xingjian Wu Junyang Du ... Chenjuan Guo Aoying Zhou Christian S. Jensen Zhenli Sheng Bin Yang AI4TS 80 78 0 29 Mar 2024
Revitalizing Multivariate Time Series Forecasting: Learnable Decomposition with Inter-Series Dependencies and Intra-Series Variations Modeling Guoqi Yu Jing Zou Xiaowei Hu Angelica I. Aviles-Rivero Jing Qin Shujun Wang AI4TS 65 19 0 20 Feb 2024
U-Mixer: An Unet-Mixer Architecture with Stationarity Correction for Time Series Forecasting Xiang Ma Xue-mei Li Lexin Fang Tianlong Zhao Caiming Zhang AI4TS 22 13 0 04 Jan 2024
iTransformer: Inverted Transformers Are Effective for Time Series Forecasting Yong Liu Tengge Hu Haoran Zhang Haixu Wu Shiyu Wang Lintao Ma Mingsheng Long AI4TS 39 512 0 10 Oct 2023
Koopa: Learning Non-stationary Time Series Dynamics with Koopman Predictors Yong Liu Chenyu Li Jianmin Wang Mingsheng Long AI4TS 60 115 0 30 May 2023
Long-term Forecasting with TiDE: Time-series Dense Encoder Abhimanyu Das Weihao Kong Andrew B. Leach Shaan Mathur Rajat Sen Rose Yu AI4TS 72 258 0 17 Apr 2023
The Capacity and Robustness Trade-off: Revisiting the Channel Independent Strategy for Multivariate Time Series Forecasting Lu Han Han-Jia Ye De-Chuan Zhan AI4TS 76 93 0 11 Apr 2023
Dish-TS: A General Paradigm for Alleviating Distribution Shift in Time Series Forecasting Wei Fan Pengyang Wang Dongkun Wang Dongjie Wang Yuanchun Zhou Yanjie Fu AI4TS 55 79 0 22 Feb 2023
A Time Series is Worth 64 Words: Long-term Forecasting with Transformers Yuqi Nie Nam H. Nguyen Phanwadee Sinthong Jayant Kalagnanam AIFin AI4TS 72 1,332 0 27 Nov 2022
TimesNet: Temporal 2D-Variation Modeling for General Time Series Analysis Haixu Wu Teng Hu Yong Liu Hang Zhou Jianmin Wang Mingsheng Long AI4TS AIFin 125 779 0 05 Oct 2022
Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting Yong Liu Haixu Wu Jianmin Wang Mingsheng Long AI4TS 45 406 0 28 May 2022
Are Transformers Effective for Time Series Forecasting? Ailing Zeng Mu-Hwa Chen L. Zhang Qiang Xu AI4TS 141 1,714 0 26 May 2022
FEDformer: Frequency Enhanced Decomposed Transformer for Long-term Series Forecasting Tian Zhou Ziqing Ma Qingsong Wen Xue Wang Liang Sun Rong Jin AI4TS 202 1,393 0 30 Jan 2022
Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting Haixu Wu Jiehui Xu Jianmin Wang Mingsheng Long AI4TS 99 2,224 0 24 Jun 2021
Learning Multiple Stock Trading Patterns with Temporal Routing Adaptor and Optimal Transport Hengxu Lin Dong Zhou Weiqing Liu Jiang Bian AIFin AI4TS 52 66 0 24 Jun 2021
SCINet: Time Series Modeling and Forecasting with Sample Convolution and Interaction Minhao Liu Ailing Zeng Mu-Hwa Chen Zhijian Xu Qiuxia Lai Lingna Ma Qiang Xu AI4TS 55 361 0 17 Jun 2021
PyTorch: An Imperative Style, High-Performance Deep Learning Library Adam Paszke Sam Gross Francisco Massa Adam Lerer James Bradbury ... Sasank Chilamkurthy Benoit Steiner Lu Fang Junjie Bai Soumith Chintala ODL 349 42,299 0 03 Dec 2019
Financial Time Series Forecasting with Deep Learning : A Systematic Literature Review: 2005-2019 Omer Berat Sezer M. U. Gudelek A. Ozbayoglu AI4TS 69 1,008 0 29 Nov 2019
Attention Is All You Need Ashish Vaswani Noam M. Shazeer Niki Parmar Jakob Uszkoreit Llion Jones Aidan Gomez Lukasz Kaiser Illia Polosukhin 3DV 622 130,942 0 12 Jun 2017
A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction Yao Qin Dongjin Song Haifeng Chen Wei Cheng Guofei Jiang G. Cottrell AI4TS 146 1,229 0 07 Apr 2017
Modeling Long- and Short-Term Temporal Patterns with Deep Neural Networks Guokun Lai Wei-Cheng Chang Yiming Yang Hanxiao Liu BDL AI4TS 104 1,997 0 21 Mar 2017
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 1.4K 149,842 0 22 Dec 2014
Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling Junyoung Chung Çağlar Gülçehre Kyunghyun Cho Yoshua Bengio 441 12,680 0 11 Dec 2014