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An Intrusion Detection Method for Steel Mills Based on Improved Co-Teaching with Prior Knowledge

https://doi.org/10.2139/ssrn.4855390
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Outgoing claims: the papers this work cites, builds on, or argues with.

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Forecasting thermal parameters for ultra‐high voltage transformers using long‐ and short‐term time‐series network with conditional mutual information
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Multiple Hypothesis Detection and Tracking Using Deep Learning for Video Traffic Surveillance
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Object Tracking in Intelligent Video Surveillance System Based on Artificial System
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Learning from massive noisy labeled data for image classification
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Person Transfer GAN to Bridge Domain Gap for Person Re-identification
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PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation
inferredcites →https://doi.org/10.1109/iccv.2015.123openalex-snapshot
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
inferredcites →https://doi.org/10.1109/icstcc50638.2020.9259640openalex-snapshot
Fusing Faster R-CNN and Background Subtraction Based on the Mixture of Gaussians Model
inferredcites →https://doi.org/10.1109/ivs.2019.8814137openalex-snapshot
Training Object Detectors With Noisy Data
inferredcites →https://doi.org/10.1109/sdpc49476.2020.9353137openalex-snapshot
Efficient SSD: A Real-Time Intrusion Object Detection Algorithm for Railway Surveillance
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A Low-Complexity Pedestrian Detection Framework for Smart Video Surveillance Systems
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Visual Early Leakage Detection for Industrial Surveillance Environments
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Tower Masking MIM: A Self-Supervised Pretraining Method for Power Line Inspection
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Toward Efficient Safety Helmet Detection Based on YoloV5 With Hierarchical Positive Sample Selection and Box Density Filtering
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A Robust Fault Classification Method for Streaming Industrial Data Based on Wasserstein Generative Adversarial Network and Semi-Supervised Ladder Network
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Training Robust Object Detectors From Noisy Category Labels and Imprecise Bounding Boxes
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Learning From Noisy Labels With Deep Neural Networks: A Survey
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Monitoring Chemical Accidents in Industrial Complexes Using Tower-Installed Infrared System for Remote Chemical Detection and Long-Range Video Surveillance System
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A Multi-Modal Distributed Real-Time IoT System for Urban Traffic Control (Invited Paper)
inferredcites →https://doi.org/10.48550/arxiv.1706.05394openalex-snapshot
A Closer Look at Memorization in Deep Networks
inferredcites →https://doi.org/10.48550/arxiv.1708.04552openalex-snapshot
Improved Regularization of Convolutional Neural Networks with Cutout
inferredcites →https://doi.org/10.48550/arxiv.1710.09412openalex-snapshot
mixup: Beyond Empirical Risk Minimization
inferredcites →https://doi.org/10.48550/arxiv.1912.02781openalex-snapshot
AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty
inferredcites →https://doi.org/10.48550/arxiv.2209.02976openalex-snapshot
YOLOv6: A Single-Stage Object Detection Framework for Industrial Applications
inferredcites →https://doi.org/10.48550/arxiv.2302.07577openalex-snapshot
Efficient Teacher: Semi-Supervised Object Detection for YOLOv5
inferredcites →https://doi.org/10.48550/arxiv.2305.09972openalex-snapshot
Real-Time Flying Object Detection with YOLOv8
inferredcites →https://doi.org/10.5244/c.30.87openalex-snapshot
Wide Residual Networks
inferredcites →https://doi.org/10.5555/3327757.3327944openalex-snapshot
Co-teaching: Robust Training of Deep Neural Networks with Extremely Noisy Labels
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