DADA: Deep Adversarial Data Augmentation for Extremely Low Data Regime Classification

29 August 2018

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Papers citing "DADA: Deep Adversarial Data Augmentation for Extremely Low Data Regime Classification"

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Title
MVAD: A Multiple Visual Artifact Detector for Video Streaming Chen Feng Duolikun Danier Fan Zhang David Bull 73 0 0 31 May 2024
ProtoKD: Learning from Extremely Scarce Data for Parasite Ova Recognition Shubham Trehan U. Ramachandran Ruth Scimeca Sathyanarayanan N. Aakur 54 0 0 18 Sep 2023
No Data Augmentation? Alternative Regularizations for Effective Training on Small Datasets Lorenzo Brigato Stavroula Mougiakakou 79 5 0 04 Sep 2023
Fine-grained Recognition with Learnable Semantic Data Augmentation Yifan Pu Yizeng Han Yulin Wang Junlan Feng Chao Deng Gao Huang 95 29 0 01 Sep 2023
HARD: Hard Augmentations for Robust Distillation Arne F. Nix Max F. Burg Fabian H. Sinz AAML 74 1 0 24 May 2023
Use the Detection Transformer as a Data Augmenter Luping Wang B. Liu ViT 93 0 0 10 Apr 2023
Image Classification with Small Datasets: Overview and Benchmark Lorenzo Brigato Björn Barz Luca Iocchi Joachim Denzler VLM 71 20 0 23 Dec 2022
Balanced Semi-Supervised Generative Adversarial Network for Damage Assessment from Low-Data Imbalanced-Class Regime Yuqing Gao Pengyuan Zhai K. Mosalam GAN AI4CE 54 79 0 29 Nov 2022
Confidence-Guided Data Augmentation for Improved Semi-Supervised Training Fadoua Khmaissia H. Frigui 35 0 0 16 Sep 2022
DeltaGAN: Towards Diverse Few-shot Image Generation with Sample-Specific Delta Y. Hong Li Niu Jianfu Zhang Liqing Zhang GAN 76 34 0 21 Jul 2022
Aug-NeRF: Training Stronger Neural Radiance Fields with Triple-Level Physically-Grounded Augmentations Tianlong Chen Peihao Wang Zhiwen Fan Zhangyang Wang 106 55 0 04 Jul 2022
Synthetic Data Can Also Teach: Synthesizing Effective Data for Unsupervised Visual Representation Learning Yawen Wu Zhepeng Wang Dewen Zeng Yiyu Shi Jingtong Hu SSL 98 16 0 14 Feb 2022
Chaos as an interpretable benchmark for forecasting and data-driven modelling W. Gilpin AI4TS 65 82 0 11 Oct 2021
Black-Box Diagnosis and Calibration on GAN Intra-Mode Collapse: A Pilot Study Zhenyu Wu Zhaowen Wang Ye Yuan Jianming Zhang Zhangyang Wang Hailin Jin 63 5 0 23 Jul 2021
Making Invisible Visible: Data-Driven Seismic Inversion with Spatio-temporally Constrained Data Augmentation Yuxin Yang Xitong Zhang Qiang Guan Youzuo Lin 67 15 0 22 Jun 2021
Self-Supervised GANs with Label Augmentation Liang Hou Huawei Shen Qi Cao Xueqi Cheng 80 18 0 16 Jun 2021
Taxonomy of Machine Learning Safety: A Survey and Primer Sina Mohseni Haotao Wang Zhiding Yu Chaowei Xiao Zhangyang Wang J. Yadawa 91 32 0 09 Jun 2021
On the Pitfalls of Learning with Limited Data: A Facial Expression Recognition Case Study Miguel Rodríguez Santander Juan Felipe Hernandez Albarracin Adín Ramirez Rivera 66 4 0 02 Apr 2021
Multiclass non-Adversarial Image Synthesis, with Application to Classification from Very Small Sample Itamar Winter D. Weinshall GAN 40 0 0 25 Nov 2020
Learning Invariances in Neural Networks Gregory W. Benton Marc Finzi Pavel Izmailov A. Wilson 94 70 0 22 Oct 2020
MM-Hand: 3D-Aware Multi-Modal Guided Hand Generative Network for 3D Hand Pose Synthesis Zhenyu Wu Duc Hoang Shih-Yao Lin Yusheng Xie Liangjian Chen Yen-Yu Lin Zhangyang Wang Wei Fan 3DH 58 11 0 02 Oct 2020
ExGAN: Adversarial Generation of Extreme Samples Siddharth Bhatia Arjit Jain Bryan Hooi 80 44 0 17 Sep 2020
Model Patching: Closing the Subgroup Performance Gap with Data Augmentation Karan Goel Albert Gu Yixuan Li Christopher Ré 104 121 0 15 Aug 2020
LSTM and GPT-2 Synthetic Speech Transfer Learning for Speaker Recognition to Overcome Data Scarcity Jordan J. Bird Diego Resende Faria Anikó Ekárt C. Premebida Pedro P. S. Ayrosa 27 5 0 01 Jul 2020
Red-GAN: Attacking class imbalance via conditioned generation. Yet another perspective on medical image synthesis for skin lesion dermoscopy and brain tumor MRI A. Qasim Ivan Ezhov Suprosanna Shit Oliver Schoppe Johannes C. Paetzold Anjany Sekuboyina Florian Kofler Jana Lipkova Hongwei Bran Li Bjoern Menze GAN MedIm 96 55 0 22 Apr 2020
Generative Latent Implicit Conditional Optimization when Learning from Small Sample Idan Azuri D. Weinshall VLM CLL 40 4 0 31 Mar 2020
Data augmentation with Mobius transformations Sharon Zhou Jiequan Zhang Hang Jiang T. Lundh A. Ng 49 21 0 07 Feb 2020
Triple Generative Adversarial Networks Chongxuan Li Kun Xu Jiashuo Liu Jun Zhu Bo Zhang GAN 75 42 0 20 Dec 2019
Practical Solutions for Machine Learning Safety in Autonomous Vehicles Sina Mohseni Mandar Pitale Vasu Singh Zhangyang Wang 84 68 0 20 Dec 2019
Adversarial Learning of General Transformations for Data Augmentation Saypraseuth Mounsaveng David Vazquez Ismail Ben Ayed M. Pedersoli 40 10 0 21 Sep 2019
Delving into Robust Object Detection from Unmanned Aerial Vehicles: A Deep Nuisance Disentanglement Approach Zhenyu Wu Karthik Suresh Priya Narayanan Hongyu Xu H. Kwon Zhangyang Wang AAML 83 79 0 11 Aug 2019
AutoGAN: Neural Architecture Search for Generative Adversarial Networks Xinyu Gong Shiyu Chang Yi Ding Zhangyang Wang GAN 94 263 0 11 Aug 2019
Safe Augmentation: Learning Task-Specific Transformations from Data Irynei Baran Orest Kupyn A. Kravchenko 18 2 0 30 Jul 2019
Exploring Bias in GAN-based Data Augmentation for Small Samples Mengxiao Hu Jinlong Li 86 20 0 21 May 2019
Deep Learning on Small Datasets without Pre-Training using Cosine Loss Björn Barz Joachim Denzler 84 132 0 25 Jan 2019