Efficient Detection of Defects in Magnetic Labyrinthine Patterns: Conclusion and References Post date September 18, 2024 Post author By Labyrinthine Post categories In convolutional-neural-networks, deep-learning, defect-detection, magnetic-labyrinthine-patterns, material-science, object-detection, template-matching, tm-cnn
Efficient Detection of Defects in Magnetic Labyrinthine Patterns: Experiments and Results Post date September 18, 2024 Post author By Labyrinthine Post categories In convolutional-neural-networks, deep-learning, defect-detection, magnetic-labyrinthine-patterns, material-science, object-detection, template-matching, tm-cnn
Efficient Detection of Defects in Magnetic Labyrinthine Patterns: Methodology Post date September 18, 2024 Post author By Labyrinthine Post categories In convolutional-neural-networks, deep-learning, defect-detection, magnetic-labyrinthine-patterns, material-science, object-detection, template-matching, tm-cnn
Efficient Detection of Defects in Magnetic Labyrinthine Patterns: Related Works Post date September 18, 2024 Post author By Labyrinthine Post categories In convolutional-neural-networks, deep-learning, defect-detection, magnetic-labyrinthine-patterns, material-science, object-detection, template-matching, tm-cnn
Efficient Detection of Defects in Magnetic Labyrinthine Patterns: Abstract and Introduction Post date September 18, 2024 Post author By Labyrinthine Post categories In convolutional-neural-networks, deep-learning, defect-detection, magnetic-labyrinthine-patterns, material-science, object-detection, template-matching, tm-cnn
The Specifics Of Data Affect Augmentation-Induced Bias Post date August 31, 2024 Post author By Computational Technology for All Post categories In class-specific-bias, computer-vision, convolutional-neural-networks, data-augmentation, data-augmentation-robustness, image-data-augmentation, machine-learning, ml-bias-mitigation
Class-specific Bias in Image Data Augmentation: Data Augmentation Robustness Scouting Post date August 31, 2024 Post author By Computational Technology for All Post categories In class-specific-bias, computer-vision, convolutional-neural-networks, data-augmentation, data-augmentation-robustness, image-data-augmentation, machine-learning, ml-bias-mitigation
A Data-centric Approach to Class-specific Bias in Image Data Augmentation: Conclusion and Limitation Post date August 31, 2024 Post author By Computational Technology for All Post categories In class-specific-bias, computer-vision, convolutional-neural-networks, data-augmentation, data-augmentation-robustness, image-data-augmentation, machine-learning, ml-bias-mitigation
A Data-centric Approach to Class-specific Bias in Image Data Augmentation: Appendices A-L Post date August 31, 2024 Post author By Computational Technology for All Post categories In class-specific-bias, computer-vision, convolutional-neural-networks, data-augmentation, data-augmentation-robustness, image-data-augmentation, machine-learning, ml-bias-mitigation
Alternative Architectures Have Variable Effect On Augmentation-Induced Bias Post date August 31, 2024 Post author By Computational Technology for All Post categories In class-specific-bias, computer-vision, convolutional-neural-networks, data-augmentation, data-augmentation-robustness, image-data-augmentation, machine-learning, ml-bias-mitigation
The Effect Of Data Augmentation-Induced Class-Specific Bias Is Influenced By Data, Regularization Post date August 31, 2024 Post author By Computational Technology for All Post categories In class-specific-bias, computer-vision, convolutional-neural-networks, data-augmentation, data-augmentation-robustness, image-data-augmentation, machine-learning, ml-bias-mitigation
A Data-centric Approach to Class-specific Bias in Image Data Augmentation: Abstract and Intro Post date August 31, 2024 Post author By Computational Technology for All Post categories In class-specific-bias, computer-vision, convolutional-neural-networks, data-augmentation, data-augmentation-robustness, image-data-augmentation, machine-learning, ml-bias-mitigation
Adding Random Horizontal Flipping Contributes To Augmentation-Induced Bias Post date August 31, 2024 Post author By Computational Technology for All Post categories In class-specific-bias, computer-vision, convolutional-neural-networks, data-augmentation, data-augmentation-robustness, image-data-augmentation, machine-learning, ml-bias-mitigation
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Counting Objects by Estimating a Density Map With Convolutional Neural Networks Post date March 20, 2021 Post author By NeuroSYS Post categories In ai, computer-vision, convolutional-neural-networks, density-map-python, good-company, machine-learning, machine-learning-algorithms, neurosys
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