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Data Augmentation

3,622 papers

Papers per year

Papers

Center-Aware Adversarial Augmentation for Single Domain Generalization WACV 2023
Understanding the Role of Mixup in Knowledge Distillation: An Empirical Study WACV 2023
Urban Scene Semantic Segmentation With Low-Cost Coarse Annotation WACV 2023
Augmentation by Counterfactual Explanation - Fixing an Overconfident Classifier WACV 2023
Structure-Encoding Auxiliary Tasks for Improved Visual Representation in Vision-and-Language Navigation WACV 2023
I See-Through You: A Framework for Removing Foreground Occlusion in Both Sparse and Dense Light Field Images WACV 2023
Resolving Class Imbalance for LiDAR-Based Object Detector by Dynamic Weight Average and Contextual Ground Truth Sampling WACV 2023
One-Shot Synthesis of Images and Segmentation Masks WACV 2023
Improving Diversity With Adversarially Learned Transformations for Domain Generalization WACV 2023
Two-Level Data Augmentation for Calibrated Multi-View Detection WACV 2023
Why Do Artificially Generated Data Help Adversarial Robustness NIPS 2022
Dataset Distillation via Factorization NIPS 2022
Efficient and Effective Augmentation Strategy for Adversarial Training NIPS 2022
C-Mixup: Improving Generalization in Regression NIPS 2022
SCAMPS: Synthetics for Camera Measurement of Physiological Signals NIPS 2022
Flare7K: A Phenomenological Nighttime Flare Removal Dataset NIPS 2022
Data-Efficient Augmentation for Training Neural Networks NIPS 2022
Debugging and Explaining Metric Learning Approaches: An Influence Function Based Perspective NIPS 2022
RecursiveMix: Mixed Learning with History NIPS 2022
Dataset Distillation using Neural Feature Regression NIPS 2022
PolarMix: A General Data Augmentation Technique for LiDAR Point Clouds NIPS 2022
S2P: State-conditioned Image Synthesis for Data Augmentation in Offline Reinforcement Learning NIPS 2022
Knowledge Distillation Improves Graph Structure Augmentation for Graph Neural Networks NIPS 2022
Invariance Learning in Deep Neural Networks with Differentiable Laplace Approximations NIPS 2022
What Makes a "Good" Data Augmentation in Knowledge Distillation - A Statistical Perspective NIPS 2022