Towards Robustness: Enhancing Deep Learning Models Through Meta-Learning and Bilevel Optimization for Accurate Car Damage Classification

Soufiane Mallem; Amir Nakib

doi:10.1109/ICIP49359.2023.10222457

Communication Dans Un Congrès Année : 2023

Towards Robustness: Enhancing Deep Learning Models Through Meta-Learning and Bilevel Optimization for Accurate Car Damage Classification

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Soufiane Mallem

Fonction : Auteur

Amir Nakib

Fonction : Auteur

Laboratoire Images, Signaux et Systèmes Intelligents

SIMO

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Informatique [cs]

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https://hal.u-pec.fr/hal-04342483

Soumis le : mercredi 13 décembre 2023-14:31:45

Dernière modification le : jeudi 14 décembre 2023-03:17:57

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hal-04342483 , version 1 (13-12-2023)

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HAL Id : hal-04342483 , version 1
DOI : 10.1109/ICIP49359.2023.10222457

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Soufiane Mallem, Amir Nakib. Towards Robustness: Enhancing Deep Learning Models Through Meta-Learning and Bilevel Optimization for Accurate Car Damage Classification. 2023 IEEE International Conference on Image Processing (ICIP), Oct 2023, Kuala Lumpur, Malaysia. pp.107-115, ⟨10.1109/ICIP49359.2023.10222457⟩. ⟨hal-04342483⟩

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Towards Robustness: Enhancing Deep Learning Models Through Meta-Learning and Bilevel Optimization for Accurate Car Damage Classification

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