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Found 5 papers, 0 papers with code
Not All Data Matters: An End-to-End Adaptive Dataset Pruning Framework for Enhancing Model Performance and Efficiency
AdaPruner can still significantly enhance model performance even after pruning up to 10-30\% of the training data.
A Simple Geometric-Aware Indoor Positioning Interpolation Algorithm Based on Manifold Learning
Interpolation methodologies have been widely used within the domain of indoor positioning systems.
AdvMask: A Sparse Adversarial Attack Based Data Augmentation Method for Image Classification
The experimental results on various datasets and CNN models verify that the proposed method outperforms other previous data augmentation methods in image classification tasks.
Review Neural Networks about Image Transformation Based on IGC Learning Framework with Annotated Information
From the perspective of this framework, we review those subtasks and give a unified interpretation of various scenarios.
Image Data Augmentation for Deep Learning: A Survey
By improving the quantity and diversity of training data, data augmentation has become an inevitable part of deep learning model training with image data.
