IEEE

Toward Deep Semi-Supervised Continual Learning: A Unified Survey for Scalable and Adaptive AI

Abstract: The integration of Deep Semi-Supervised Learning (DSSL) with Continual Learning (CL) holds significant promise for advancing artificial intelligence systems capable of learning from limited ...
Frontiers

Semi-supervised segmentation of forest fires from UAV remote sensing images via panoramic feature fusion and pixel contrastive learning

1 School of Computer Science, Nanjing University of Posts and Telecommunications, Nanjing, China 2 College of Information Science and Technology, Nanjing Forestry University, Nanjing, China ...
IEEE

Enhanced Feature Contrastive Self-Supervised Learning Method Based on Deep Unfolding POCS for Accelerated Parallel MRI Reconstruction

Abstract: The application of deep learning has significantly accelerated magnetic resonance imaging (MRI). However, these methods encounter substantial challenges when fully sampled datasets are ...
Robohub

Self-supervised learning for soccer ball detection and beyond: interview with winners of the RoboCup 2025 best paper award

Presentation of the best paper award at the RoboCup 2025 symposium. An important aspect of autonomous soccer-playing robots concerns accurate detection of the ball. This is the focus of work by Can ...
katu

Oregon bans cell phones in K-12 schools to boost learning, mental health

A Portland police officer has been reassigned following the emergence of a video showing him stating he would shoot a protester if they drove their car at him. Portland vigil condemns federal violence ...
Frontiers

Deep learning-based automated tongue analysis system for assisted Chinese medicine diagnosis

This study proposes an automated tongue analysis system that combines deep learning with traditional Chinese medicine to enhance the accuracy and objectivity of tongue diagnosis. The system includes a ...
Scientific Research Publishing

Tong, J. and Zhang, Y. (2024) A Real-Time Label-Free Self-Supervised Deep Learning Intrusion Detection for Handling New Type and Few-Shot Attacks in IOT Networks. IEEE Internet ...

ABSTRACT: The ever-increasing use of IoT devices has presented new security threats and, thus, requires IDS to protect interconnected IoT networks. This paper identifies the use of ML and DL as a new ...