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Deep CNN for Occluded Face Recognition by Nikhil Tengli is a document available to read on EtoBox.

What is Deep CNN for Occluded Face Recognition about?

This document presents a novel framework for face occlusion recognition using a specialized deep convolutional neural network (CNN) combined with BiLSTM techniques. The proposed model outperforms existing methods by 10-15% in accuracy on various datasets, effectively addressing the challenges of occluded face recognition. Key contributions include the integration of a unique loss function and the ability to capture temporal characteristics, enhancing both feature extraction and classification performance.

Author

Nikhil Tengli

Language

EN