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[2602.23533] Few-Shot Continual Learning for 3D Brain MRI with Frozen Foundation Models
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Improving fine-grained food classification using deep residual learning and selective state space models
Citation: Chen C-S, Chen G-Y, Zhou D, Jiang D, Chen D, Chang S-H (2025) Improving fine-grained food classification using deep residual learning and selective state space models. PLoS One 20(5): e0322695. https://doi.org/10.1371/journal.pone.0322695 Editor: Qian Zhang, Jiangsu Open University, CHINA Received: December 9, 2024; Accepted: March 26, 2025; Published: May 5, 2025 Copyright: © 2025 Chen et al.
Food Classification for Dietary Support Using Fine-Grained Visual Recognition with the HERBS Network
Preprint Article Version 1 This version is not peer-reviewed Version 1 : Received: 26 October 2024 / Approved: 26 October 2024 / Online: 28 October 2024 (13:39:24 CET) Chen, C.-S.; Yang, Y.-H.; Chen, G.-Y.; Chang, S.-H. Food Classification for Dietary Support Using Fine-Grained Visual Recognition with the HERBS Network. Preprints 2024, 2024102080. https://doi.org/10.20944/preprints202410.2080.v1 Chen, C.-S.; Yang, Y.-H.; Chen, G.-Y.; Chang, S.-H.
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