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M. Mufassirin

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Open access Aug 2026

Benchmarking Pre-Trained Feature Extractors: A Comparative Study Across Deep Learning Tasks

This study systematically compares seven pre-trained feature extractors across three architectural families, convolutional neural networks (CNNs), Vision Transformers (ViTs), and self-supervised models to provide practical guidance on model selection for downstream deep learning tasks.

Rafeek Sibrikhan, M. Mufassirin · 0 citations

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