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"Knowledge Distillation and Continual Learning for Optimized Deep Neura" by Vu Minh Hieu Phan

Over the past few years, deep learning (DL) has been achieving state-of-theart performance on various human tasks such as speech generation, language translation, image segmentation, and object detection. While traditional machine learning models require hand-crafted features, deep learning algorithms can automatically extract discriminative features and learn complex knowledge from large datasets. This powerful learning ability makes deep learning models attractive to both academia and big corp...
Deep Learning Knowledge Distillation Continual Learning Semantic Segmentation Ignal Classification
Source: uow.edu.au

"Classification of Improvised Explosive Devices using Multilevel Projec" by Fok Hing Chi Tivive, Abdesselam Bouzerdoum et al.

Improvised explosive devices pose a significant threat to defence forces and humanitarian demining personnel. They are weapons of modern times, made from non-conventional military materials, rendering them difficult to identify when buried in the ground. Numerous studies focus on detecting these explosive threats and reducing the false alarm rate. However, there are few attempts to identify the detected explosive devices to take proper countermeasures. This paper presents a multi-level projectiv...
Lutter Removal Using Low Rank Constraint Dictionary Learning Feature Extraction Ground Penetrating Radar Improvised Explosive Devices Landmine Detection
Source: uow.edu.au

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