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Data Augmentation
45 directly classified papers
Papers per year
2016: 1
2017: 2
2018: 2
2019: 4
2020: 8
2021: 7
2022: 10
2023: 3
2024: 2
2025: 5
2026: 1
Papers
SynPlay: Large-Scale Synthetic Human Data with Real-World Diversity for Aerial-View Perception
WACV 2026
Masking meets Supervision: A Strong Learning Alliance
CVPR 2025
Physical Marker: Revealing Invisible Hyperlinks Hidden in Printed Trademarks
AAAI 2025
BOLT: Boost Large Vision-Language Model Without Training for Long-form Video Understanding
CVPR 2025
VISTA: Enhancing Long-Duration and High-Resolution Video Understanding by Video Spatiotemporal Augmentation
CVPR 2025
From Real to Synthetic: Synthesizing Millions of Diversified and Complicated User Instructions with Attributed Grounding
ACL 2025
Guiding a Harsh-Environments Robust Detector via RAW Data Characteristic Mining
AAAI 2024
All You Need is Attention: Lightweight Attention-based Data Augmentation for Text Classification
EMNLP 2024
Mixed Autoencoder for Self-Supervised Visual Representation Learning
CVPR 2023
Frequency Selective Augmentation for Video Representation Learning
AAAI 2023
Coco at SemEval-2023 Task 10: Explainable Detection of Online Sexism
ACL 2023
AlignMixup: Improving Representations by Interpolating Aligned Features
CVPR 2022
AIM: An Auto-Augmenter for Images and Meshes
CVPR 2022
Divide-and-Conquer Text Simplification by Scalable Data Enhancement
EMNLP 2022
PatchUp: A Feature-Space Block-Level Regularization Technique for Convolutional Neural Networks
AAAI 2022
PromDA: Prompt-based Data Augmentation for Low-Resource NLU Tasks
ACL 2022
On the Calibration of Pre-trained Language Models using Mixup Guided by Area Under the Margin and Saliency
ACL 2022
Directional Self-Supervised Learning for Heavy Image Augmentations
CVPR 2022
SPARTA at CASE 2021 Task 1: Evaluating Different Techniques to Improve Event Extraction
EMNLP 2022
TCS WITM 2022@FinSim4-ESG: Augmenting BERT with Linguistic and Semantic features for ESG data classification
EMNLP 2022
A simple but strong baseline for online continual learning: Repeated Augmented Rehearsal
NIPS 2022
AutoDO: Robust AutoAugment for Biased Data With Label Noise via Scalable Probabilistic Implicit Differentiation
CVPR 2021
PoseAug: A Differentiable Pose Augmentation Framework for 3D Human Pose Estimation
CVPR 2021
Physics-constrained Automatic Feature Engineering for Predictive Modeling in Materials Science
AAAI 2021
Ensembling With Deep Generative Views
CVPR 2021
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