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We build upon time-series classification by leveraging the capabilities of Vision Language Models (VLMs).
Hassan Ismail Fawaz, Benjamin Lucas, Germain Forestier, Charlotte Pelletier, Daniel F. Schmidt, Jonathan Weber, Geoffrey I. Webb, Lhassane Idoumghar, Pierre-Alain Muller, and François Petitjean. 2019 · 1909
Earlier work this paper cites.
Hoang Anh Dau, Anthony Bagnall, Kaveh Kamgar, Chin-Chia Michael Yeh, Yan Zhu, Shaghayegh Gharghabi, Chotirat Ann Ratanamahatana, and Eamonn Keogh. 2018 · 2018
Earlier work this paper cites.
Data augmentation using synthetic data for time series classification with deep residual networks
Hassan Ismail Fawaz, Germain Forestier, Jonathan Weber, Lhassane Idoumghar, and Pierre-Alain Muller. 2018 · 2018
Earlier work this paper cites.
Hive-cote 2.0: a new meta ensemble for time series classification
Matthew Middlehurst, James Large, Michael Flynn, Jason Lines, Aaron Bostrom, and Anthony Bagnall. 2021 · 2021
Earlier work this paper cites.
Deep learning for time series classification using new hand-crafted convolution filters
Ali Ismail-Fawaz, Maxime Devanne, Jonathan Weber, and Germain Forestier. 2022 · 2022
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Finding foundation models for time series classification with a pretext task
Ali Ismail-Fawaz, Maxime Devanne, Stefano Berretti, Jonathan Weber, and Germain Forestier. 2023 · 2023
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Haotian Liu, Chunyuan Li, Qingyang Wu, and Yong Jae Lee. 2023 · 2023
Cited alongside, same era.
Bake off redux: a review and experimental evaluation of recent time series classification algorithms
Matthew Middlehurst, Patrick Schäfer, and Anthony Bagnall. 2023 · 2023
Later among the works it cites.
Qwen-VL: A versatile vision-language model for understanding, localization, text reading, and beyond
Jinze Bai, Shuai Bai, Shusheng Yang, Shijie Wang, Sinan Tan, Peng Wang, Junyang Lin, Chang Zhou, and Jingren Zhou. 2024 · 2024
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Large language models are zero-shot time series forecasters
Nate Gruver, Marc Finzi, Shikai Qiu, and Andrew Gordon Wilson. 2024 · 2024
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