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Deep Learning for Ear Recognition by RAVISHANKAR MEHTA is a document available to read on EtoBox.

What is Deep Learning for Ear Recognition about?

This paper presents a study on ear recognition using various deep convolutional neural networks (CNNs) on the unconstrained EarVN1.0 dataset, achieving state-of-the-art recognition performance with a rank-1 accuracy of 95.85% using an ensemble of fine-tuned ResNeXt101 models. The research highlights the effectiveness of transfer learning and different domain adaptation strategies to overcome challenges in recognizing ear images under uncontrolled conditions. Additionally, feature visualizations indicate tha

Author

RAVISHANKAR MEHTA

Language

EN