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A Teacher-Free Graph Knowledge Distillation Framework With Dual Self-Distillation

IEEE transactions on knowledge and data engineering, 2024-09, Vol.36 (9), p.4375-4385

2024

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Improving Fast Adversarial Training With Prior-Guided Knowledge

IEEE transactions on pattern analysis and machine intelligence, 2024-09, Vol.46 (9), p.6367-6383

2024

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PanDa: Prompt Transfer Meets Knowledge Distillation for Efficient Model Adaptation

IEEE transactions on knowledge and data engineering, 2024-09, Vol.36 (9), p.4835-4848

2024

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Continual Learning for Robotic Grasping Detection With Knowledge Transferring

IEEE transactions on industrial electronics (1982), 2024-09, Vol.71 (9), p.11019-11027

2024

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Unpacking the Gap Box Against Data-Free Knowledge Distillation

IEEE transactions on pattern analysis and machine intelligence, 2024-09, Vol.46 (9), p.6280-6291

2024

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LiteGrasp: A Light Robotic Grasp Detection via Semi-Supervised Knowledge Distillation

IEEE robotics and automation letters, 2024-09, Vol.9 (9), p.7995-8002

2024

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Online Knowledge Distillation for Machine Health Prognosis Considering Edge Deployment

IEEE internet of things journal, 2024-08, Vol.11 (16), p.27828-27839

2024

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Unified Privileged Knowledge Distillation Framework for Human Motion Prediction

IEEE transactions on circuits and systems for video technology, 2024-08, p.1-1

2024

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Boosting Cross-Domain Point Classification via Distilling Relational Priors from 2D Transformers

IEEE transactions on circuits and systems for video technology, 2024-08, p.1-1

2024

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Renormalized Connection for Scale-preferred Object Detection in Satellite Imagery

IEEE transactions on geoscience and remote sensing, 2024-08, p.1-1

2024

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YOLOv7-TID: A Lightweight Network for PCB Intelligent Detection

IEEE access, 2024-08, p.1-1

2024

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Uncertain Knowledge Graph Embedding Using Auxiliary Information

IEEE access, 2024-08, p.1-1

2024

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Multimodal Distillation Pre-training Model for Ultrasound Dynamic Images Annotation

IEEE journal of biomedical and health informatics, 2024-08, Vol.PP, p.1-14

2024

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The Staged Knowledge Distillation in Video Classification: Harmonizing Student Progress by a Complementary Weakly Supervised Framework

IEEE transactions on circuits and systems for video technology, 2024-08, Vol.34 (8), p.1-1

2024

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Partial Label Feature Selection: An Adaptive Approach

IEEE transactions on knowledge and data engineering, 2024-08, Vol.36 (8), p.4178-4191

2024

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Semi-Supervised Feature Distillation and Unsupervised Domain Adversarial Distillation for Underwater Image Enhancement

IEEE transactions on circuits and systems for video technology, 2024-08, Vol.34 (8), p.1-1

2024

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Distilled Gradual Pruning with Pruned Fine-tuning

IEEE transactions on artificial intelligence, 2024-08, Vol.5 (8), p.1-11

2024

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Vision-Language Models for Vision Tasks: A Survey

IEEE transactions on pattern analysis and machine intelligence, 2024-08, Vol.46 (8), p.5625-5644

2024

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MC-SQ and MC-MQ: Ensembles for Multi-Class Quantification

IEEE transactions on knowledge and data engineering, 2024-08, Vol.36 (8), p.4007-4019

2024

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Adversarial Multi-Teacher Distillation for Semi-Supervised Relation Extraction

IEEE transaction on neural networks and learning systems, 2024-08, Vol.35 (8), p.11291-11301

2024

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Federated Continual Learning via Knowledge Fusion: A Survey

IEEE transactions on knowledge and data engineering, 2024-08, Vol.36 (8), p.3832-3850

2024

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Multidomain Object Detection Framework Using Feature Domain Knowledge Distillation

IEEE transactions on cybernetics, 2024-08, Vol.54 (8), p.4643-4651

2024

Volltextzugriff (PDF)

A Novel Generative Adversarial Networks via Music Theory Knowledge for Early Fault Intelligent Diagnosis of Motor Bearings

IEEE transactions on industrial electronics (1982), 2024-08, Vol.71 (8), p.9777-9788

2024

Volltextzugriff (PDF)

ESDB: Expand The Shrinking Decision Boundary via One-to-Many Information Matching for Continual Learning with Small Memory

IEEE transactions on circuits and systems for video technology, 2024-08, Vol.34 (8), p.1-1

2024

Volltextzugriff (PDF)

DecouplingNet: A Stable Knowledge Distillation Decoupling Net for Fault Detection of Rotating Machines Under Varying Speeds

IEEE transaction on neural networks and learning systems, 2024-08, Vol.35 (8), p.11276-11290

2024

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1 – 25 von 5.682

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A Teacher-Free Graph Knowledge Distillation Framework With Dual Self-Distillation

Improving Fast Adversarial Training With Prior-Guided Knowledge

PanDa: Prompt Transfer Meets Knowledge Distillation for Efficient Model Adaptation

Continual Learning for Robotic Grasping Detection With Knowledge Transferring

Unpacking the Gap Box Against Data-Free Knowledge Distillation

LiteGrasp: A Light Robotic Grasp Detection via Semi-Supervised Knowledge Distillation

Online Knowledge Distillation for Machine Health Prognosis Considering Edge Deployment

Unified Privileged Knowledge Distillation Framework for Human Motion Prediction

Boosting Cross-Domain Point Classification via Distilling Relational Priors from 2D Transformers

Renormalized Connection for Scale-preferred Object Detection in Satellite Imagery

YOLOv7-TID: A Lightweight Network for PCB Intelligent Detection

Uncertain Knowledge Graph Embedding Using Auxiliary Information

Multimodal Distillation Pre-training Model for Ultrasound Dynamic Images Annotation

The Staged Knowledge Distillation in Video Classification: Harmonizing Student Progress by a Complementary Weakly Supervised Framework

Partial Label Feature Selection: An Adaptive Approach

Semi-Supervised Feature Distillation and Unsupervised Domain Adversarial Distillation for Underwater Image Enhancement

Distilled Gradual Pruning with Pruned Fine-tuning

Vision-Language Models for Vision Tasks: A Survey

MC-SQ and MC-MQ: Ensembles for Multi-Class Quantification

Adversarial Multi-Teacher Distillation for Semi-Supervised Relation Extraction

Federated Continual Learning via Knowledge Fusion: A Survey

Multidomain Object Detection Framework Using Feature Domain Knowledge Distillation

A Novel Generative Adversarial Networks via Music Theory Knowledge for Early Fault Intelligent Diagnosis of Motor Bearings

ESDB: Expand The Shrinking Decision Boundary via One-to-Many Information Matching for Continual Learning with Small Memory

DecouplingNet: A Stable Knowledge Distillation Decoupling Net for Fault Detection of Rotating Machines Under Varying Speeds

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