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Data Augmentation in Emotion Classification Using Generative Adversarial Networks

2 November 2017

Papers citing "Data Augmentation in Emotion Classification Using Generative Adversarial Networks"

47 / 47 papers shown

Title
ADROIT: A Self-Supervised Framework for Learning Robust Representations for Active Learning S. Banerjee Vinay Kumar Verma SSL 110 0 0 10 Mar 2025
Generative Adversarial Networks for High-Dimensional Item Factor Analysis: A Deep Adversarial Learning Algorithm Nanyu Luo Feng Ji DRL 97 0 0 15 Feb 2025
Training on Thin Air: Improve Image Classification with Generated Data Yongchao Zhou Hshmat Sahak Jimmy Ba DiffM 88 47 0 24 May 2023
Data Augmentation for Environmental Sound Classification Using Diffusion Probabilistic Model with Top-k Selection Discriminator Yunhao Chen Yunjie Zhu Zihui Yan Jian Shen Zhen Ren Yifan Huang DiffM 85 8 0 27 Mar 2023
CAT: Controllable Attribute Translation for Fair Facial Attribute Classification Jiazhi Li Wael AbdAlmageed CVBM 85 9 0 14 Sep 2022
EnvEdit: Environment Editing for Vision-and-Language Navigation Jialu Li Hao Tan Joey Tianyi Zhou 108 83 0 29 Mar 2022
Semi-supervised Deep Learning for Image Classification with Distribution Mismatch: A Survey Saul Calderon-Ramirez Shengxiang-Yang David Elizondo OOD 50 19 0 01 Mar 2022
SODA: Self-organizing data augmentation in deep neural networks -- Application to biomedical image segmentation tasks Arnaud Deleruyelle J. Klein Cristian Versari OOD 48 0 0 07 Feb 2022
Object Recognition by a Minimally Pre-Trained System in the Process of Environment Exploration D. Maximov S. Diane 29 0 0 23 Nov 2021
Repaint: Improving the Generalization of Down-Stream Visual Tasks by Generating Multiple Instances of Training Examples Amin Banitalebi-Dehkordi Yong Zhang 74 7 0 20 Oct 2021
Generatively Augmented Neural Network Watchdog for Image Classification Networks Justin Bui Glauco A. Amigo R. Marks 69 0 0 07 Sep 2021
Cascade Watchdog: A Multi-tiered Adversarial Guard for Outlier Detection Glauco A. Amigo Justin Bui Charles Baylis R. Marks OODD 39 1 0 20 Aug 2021
LARGE: Latent-Based Regression through GAN Semantics Yotam Nitzan Rinon Gal Ofir Brenner Daniel Cohen-Or GAN 55 26 0 22 Jul 2021
A Survey on Data Augmentation for Text Classification Markus Bayer M. Kaufhold Christian A. Reuter 145 355 0 07 Jul 2021
Generative Modeling for Multi-task Visual Learning Zhipeng Bao M. Hebert Yu-Xiong Wang 64 17 0 25 Jun 2021
ParticleAugment: Sampling-Based Data Augmentation Alexander Tsaregorodtsev Vasileios Belagiannis 46 2 0 16 Jun 2021
Data Augmentation in High Dimensional Low Sample Size Setting Using a Geometry-Based Variational Autoencoder Clément Chadebec Elina Thibeau-Sutre Ninon Burgos S. Allassonnière 132 69 0 30 Apr 2021
Ensembling with Deep Generative Views Lucy Chai Jun-Yan Zhu Eli Shechtman Phillip Isola Richard Y. Zhang GAN 80 71 0 29 Apr 2021
Distilling and Transferring Knowledge via cGAN-generated Samples for Image Classification and Regression Xin Ding Z. J. Wang Zuheng Xu Z. Jane Wang William J. Welch 138 22 0 07 Apr 2021
Enhancing Segment-Based Speech Emotion Recognition by Deep Self-Learning Shuiyang Mao P. Ching Tan Lee 42 2 0 30 Mar 2021
Data Augmentation with Variational Autoencoders and Manifold Sampling Clément Chadebec S. Allassonnière DRL 72 26 0 25 Mar 2021
Fair Attribute Classification through Latent Space De-biasing V. V. Ramaswamy Sunnie S. Y. Kim Olga Russakovsky 103 165 0 02 Dec 2020
Improving Augmentation and Evaluation Schemes for Semantic Image Synthesis P. Katiyar Anna Khoreva 47 4 0 25 Nov 2020
EfficientSeg: An Efficient Semantic Segmentation Network V. B. Yesilkaynak Y. Sahin Gözde B. Ünal SSeg 40 8 0 14 Sep 2020
Learning End-to-End Action Interaction by Paired-Embedding Data Augmentation Ziyang Song Zejian Yuan Chong Zhang Wanchao Chi Yonggen Ling Shenghao Zhang 49 1 0 16 Jul 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 38 5 0 01 Jul 2020
Feature Re-Learning with Data Augmentation for Video Relevance Prediction Jianfeng Dong Xun Wang Leimin Zhang Chaoxi Xu Gang Yang Xirong Li 55 13 0 08 Apr 2020
Deep Synthetic Minority Over-Sampling Technique Hadi Mansourifar W. Shi 66 33 0 22 Mar 2020
Using generative adversarial networks to synthesize artificial financial datasets Dmitry Efimov Di Xu Luyang Kong A. Nefedov Archana Anandakrishnan GAN 83 29 0 06 Feb 2020
Study of Constrained Network Structures for WGANs on Numeric Data Generation Wei Wang Chuang Wang Tao Cui Yuemei Li 33 3 0 05 Nov 2019
Generating Relevant Counter-Examples from a Positive Unlabeled Dataset for Image Classification Florent Chiaroni G. Khodabandelou Mohamed-Cherif Rahal N. Hueber Frederic Dufaux 42 4 0 04 Oct 2019
RandAugment: Practical automated data augmentation with a reduced search space E. D. Cubuk Barret Zoph Jonathon Shlens Quoc V. Le MQ 416 3,522 0 30 Sep 2019
Automatically Learning Data Augmentation Policies for Dialogue Tasks Tong Niu Joey Tianyi Zhou 84 39 0 27 Sep 2019
Imbalance Problems in Object Detection: A Review Kemal Oksuz Baris Can Cam Sinan Kalkan Emre Akbas ObjD 150 471 0 31 Aug 2019
Multi-hop Federated Private Data Augmentation with Sample Compression Eunjeong Jeong Seungeun Oh Jihong Park Hyesung Kim M. Bennis Seong-Lyun Kim 82 17 0 15 Jul 2019
Learning Data Augmentation Strategies for Object Detection Barret Zoph E. D. Cubuk Golnaz Ghiasi Nayeon Lee Jonathon Shlens Quoc V. Le 108 536 0 26 Jun 2019
Cyclone intensity estimate with context-aware cyclegan Yajing Xu Haitao Yang Mingfei Cheng Si Li 37 4 0 11 May 2019
Learn to synthesize and synthesize to learn Behzad Bozorgtabar Mohammad Saeed Rad H. K. Ekenel Jean-Philippe Thiran GAN CVBM 67 19 0 01 May 2019
A Survey on Face Data Augmentation Xiang Wang Kai Wang Kai Wang CVBM 118 134 0 26 Apr 2019
Unsupervised Feature Learning for Environmental Sound Classification Using Weighted Cycle-Consistent Generative Adversarial Network Mohammad Esmaeilpour P. Cardinal Alessandro Lameiras Koerich 77 43 0 08 Apr 2019
Weighted Point Cloud Augmentation for Neural Network Training Data Class-Imbalance David J. Griffiths Jan Boehm 3DPC 48 13 0 08 Apr 2019
Snore-GANs: Improving Automatic Snore Sound Classification with Synthesized Data Zixing Zhang Jing Han Kun Qian C. Janott Yanan Guo Bjoern Schuller 64 43 0 29 Mar 2019
Pixel Level Data Augmentation for Semantic Image Segmentation using Generative Adversarial Networks Shuangting Liu Jiaqi Zhang Yuxin Chen Yifan Liu Zengchang Qin T. Wan GAN 126 46 0 01 Nov 2018
GAN Augmentation: Augmenting Training Data using Generative Adversarial Networks Christopher Bowles Liang Chen Ricardo Guerrero P. Bentley R. Gunn A. Hammers D. A. Dickie M. V. Valdés Hernández Joanna M. Wardlaw Daniel Rueckert GAN MedIm 92 429 0 25 Oct 2018
DOPING: Generative Data Augmentation for Unsupervised Anomaly Detection with GAN Swee Kiat Lim Yi Loo Ngoc-Trung Tran Ngai-Man Cheung Gemma Roig Yuval Elovici 46 117 0 23 Aug 2018
Cross-modal Hallucination for Few-shot Fine-grained Recognition Frederik Pahde P. Jähnichen T. Klein Moin Nabi 94 21 0 13 Jun 2018
AutoAugment: Learning Augmentation Policies from Data E. D. Cubuk Barret Zoph Dandelion Mané Vijay Vasudevan Quoc V. Le 141 1,781 0 24 May 2018