Adversarial AutoAugment

24 December 2019

Papers citing "Adversarial AutoAugment"

50 / 130 papers shown

Title
Single Domain Generalization with Adversarial Memory Hao Yan Marzi Heidari Yuhong Guo 94 0 0 08 Mar 2025
Solving Instance Detection from an Open-World Perspective Qianqian Shen Yunhan Zhao Nahyun Kwon Jeeeun Kim Yanan Li Shu Kong 32 0 0 01 Mar 2025
Single Domain Generalization with Model-aware Parametric Batch-wise Mixup Marzi Heidari Yuhong Guo 39 0 0 22 Feb 2025
Improving the Transferability of Adversarial Attacks on Face Recognition with Diverse Parameters Augmentation Fengfan Zhou Bangjie Yin Hefei Ling Qianyu Zhou Wenxuan Wang AAML 60 0 0 23 Nov 2024
Synth4Seg -- Learning Defect Data Synthesis for Defect Segmentation using Bi-level Optimization Shancong Mou Raviteja Vemulapalli Shiyu Li Yuxuan Liu C Thomas ... Haoping Bai Oncel Tuzel Ping-Chia Huang Jiulong Shan Jianjun Shi 30 0 0 24 Oct 2024
EntAugment: Entropy-Driven Adaptive Data Augmentation Framework for Image Classification Suorong Yang F. Shen Jian Zhao AAML 29 1 0 10 Sep 2024
FreeAugment: Data Augmentation Search Across All Degrees of Freedom Tom Bekor Niv Nayman Lihi Zelnik-Manor ViT 44 0 0 07 Sep 2024
Learning Tree-Structured Composition of Data Augmentation Dongyue Li Kailai Chen P. Radivojac Hongyang R. Zhang 44 1 0 26 Aug 2024
Competing for pixels: a self-play algorithm for weakly-supervised segmentation Shaheer U. Saeed Shiqi Huang João Ramalhinho Iani J. M. B. Gayo Nina Montaña-Brown ... Stephen P. Pereira Brian R. Davidson D. Barratt Matthew J. Clarkson Yipeng Hu 63 0 0 26 May 2024
AdaAugment: A Tuning-Free and Adaptive Approach to Enhance Data Augmentation Suorong Yang Peijia Li Xin Xiong Shen Furao Jian Zhao 24 1 0 19 May 2024
CoViews: Adaptive Augmentation Using Cooperative Views for Enhanced Contrastive Learning Nazim Bendib 21 0 0 12 May 2024
How to Augment for Atmospheric Turbulence Effects on Thermal Adapted Object Detection Models? Engin Uzun Erdem Akagündüz 40 0 0 10 May 2024
Automated data processing and feature engineering for deep learning and big data applications: a survey A. Mumuni F. Mumuni TPM 38 47 0 18 Mar 2024
AdvST: Revisiting Data Augmentations for Single Domain Generalization Guangtao Zheng Mengdi Huai Aidong Zhang 30 14 0 20 Dec 2023
Towards Automatic Data Augmentation for Disordered Speech Recognition Zengrui Jin Xurong Xie Tianzi Wang Mengzhe Geng Jiajun Deng Guinan Li Shujie Hu Xunying Liu 19 2 0 14 Dec 2023
Data Scarcity in Recommendation Systems: A Survey Zefeng Chen Wensheng Gan Jiayang Wu Kaixia Hu Hong Lin 16 21 0 08 Dec 2023
Video Anomaly Detection via Spatio-Temporal Pseudo-Anomaly Generation : A Unified Approach Ayush Rai Tarun Krishna Feiyan Hu Alexandru Drimbarean Kevin McGuinness A. Smeaton Noel E. O'Connor 37 1 0 27 Nov 2023
Anchor Data Augmentation Nora Schneider Shirin Goshtasbpour Fernando Pérez-Cruz 16 6 0 12 Nov 2023
Learning-Based Biharmonic Augmentation for Point Cloud Classification Jiacheng Wei Guosheng Lin Henghui Ding Jie Hu Kim-Hui Yap 3DPC 12 0 0 10 Nov 2023
Distilling Out-of-Distribution Robustness from Vision-Language Foundation Models Andy Zhou Jindong Wang Yu-xiong Wang Haohan Wang VLM 46 6 0 02 Nov 2023
DualAug: Exploiting Additional Heavy Augmentation with OOD Data Rejection Zehao Wang Yiwen Guo Qizhang Li Guanglei Yang Wangmeng Zuo 20 0 0 12 Oct 2023
Domain Generalization by Rejecting Extreme Augmentations Masih Aminbeidokhti F. Guerrero-Peña H. R. Medeiros Thomas Dubail Eric Granger M. Pedersoli ViT 30 3 0 10 Oct 2023
IPMix: Label-Preserving Data Augmentation Method for Training Robust Classifiers Zhenglin Huang Xianan Bao Na Zhang Qingqi Zhang Xiaomei Tu Biao Wu Xi Yang 25 7 0 07 Oct 2023
Self-Supervised Neuron Segmentation with Multi-Agent Reinforcement Learning Yinda Chen Wei Huang Shenglong Zhou Qi Chen Zhiwei Xiong 28 25 0 06 Oct 2023
SmoothLLM: Defending Large Language Models Against Jailbreaking Attacks Alexander Robey Eric Wong Hamed Hassani George J. Pappas AAML 38 215 0 05 Oct 2023
When to Learn What: Model-Adaptive Data Augmentation Curriculum Chengkai Hou Jieyu Zhang Tianyi Zhou 27 15 0 09 Sep 2023
On the Efficacy of Multi-scale Data Samplers for Vision Applications Elvis Nunez Thomas Merth Anish K. Prabhu Mehrdad Farajtabar Mohammad Rastegari Sachin Mehta Maxwell Horton 23 1 0 08 Sep 2023
REALM: Robust Entropy Adaptive Loss Minimization for Improved Single-Sample Test-Time Adaptation Skyler Seto B. Theobald Federico Danieli Navdeep Jaitly Dan Busbridge TTA OOD 37 6 0 07 Sep 2023
Advancements in Point Cloud Data Augmentation for Deep Learning: A Survey Qinfeng Zhu Lei Fan Ningxin Weng 3DPC 21 34 0 23 Aug 2023
Boundary-RL: Reinforcement Learning for Weakly-Supervised Prostate Segmentation in TRUS Images Wei Yi V. Stavrinides Zachary Michael Cieman Baum Qianye Yang D. Barratt Matthew J. Clarkson Yipeng Hu Shaheer U. Saeed 22 3 0 22 Aug 2023
Learning Transferable Object-Centric Diffeomorphic Transformations for Data Augmentation in Medical Image Segmentation Nilesh Kumar P. Gyawali S. Ghimire Linwei Wang MedIm 18 1 0 25 Jul 2023
LatentAugment: Data Augmentation via Guided Manipulation of GAN's Latent Space L. Tronchin Minh H. Vu Paolo Soda Tommy Löfstedt 20 2 0 21 Jul 2023
SLACK: Stable Learning of Augmentations with Cold-start and KL regularization Juliette Marrie Michael Arbel Diane Larlus Julien Mairal OffRL 36 4 0 16 Jun 2023
AROID: Improving Adversarial Robustness through Online Instance-wise Data Augmentation Lin Li Jianing Qiu Michael W. Spratling AAML 30 4 0 12 Jun 2023
HARD: Hard Augmentations for Robust Distillation Arne F. Nix Max F. Burg Fabian H. Sinz AAML 31 1 0 24 May 2023
LatentAugment: Dynamically Optimized Latent Probabilities of Data Augmentation K. Kuriyama 24 1 0 04 May 2023
LA3: Efficient Label-Aware AutoAugment Mingjun Zhao Sha Lu Zixuan Wang Xiaoli Wang Di Niu 8 1 0 20 Apr 2023
On Efficient Training of Large-Scale Deep Learning Models: A Literature Review Li Shen Yan Sun Zhiyuan Yu Liang Ding Xinmei Tian Dacheng Tao VLM 28 40 0 07 Apr 2023
Adversarial Style Augmentation for Domain Generalization Yabin Zhang Bin Deng Ruihuang Li K. Jia Lei Zhang AAML OOD 18 14 0 30 Jan 2023
Learning Multimodal Data Augmentation in Feature Space Zichang Liu Zhiqiang Tang Xingjian Shi Aston Zhang Mu Li Anshumali Shrivastava A. Wilson 37 19 0 29 Dec 2022
EfficientTrain: Exploring Generalized Curriculum Learning for Training Visual Backbones Yulin Wang Yang Yue Rui Lu Tian-De Liu Zhaobai Zhong S. Song Gao Huang 32 28 0 17 Nov 2022
Local Magnification for Data and Feature Augmentation Kun He Chang-rui Liu Stephen Lin J. Hopcroft 19 2 0 15 Nov 2022
Adversarial and Random Transformations for Robust Domain Adaptation and Generalization Liang Xiao Jiaolong Xu Dawei Zhao Erke Shang Qi Zhu Bin Dai OOD 18 6 0 13 Nov 2022
Adversarial Auto-Augment with Label Preservation: A Representation Learning Principle Guided Approach Kaiwen Yang Yanchao Sun Jiahao Su Fengxiang He Xinmei Tian Furong Huang Tianyi Zhou Dacheng Tao 25 13 0 02 Nov 2022
Improving the Transferability of Adversarial Attacks on Face Recognition with Beneficial Perturbation Feature Augmentation Fengfan Zhou H. Ling Yuxuan Shi Jiazhong Chen Zongyi Li Ping Li AAML 42 7 0 28 Oct 2022
ScoreMix: A Scalable Augmentation Strategy for Training GANs with Limited Data Jie Cao Mandi Luo Junchi Yu Mingmin Yang Ran He 29 4 0 27 Oct 2022
Addressing Heterogeneity in Federated Learning via Distributional Transformation Haolin Yuan Bo Hui Yuchen Yang Philippe Burlina Neil Zhenqiang Gong Yinzhi Cao FedML OOD 32 13 0 26 Oct 2022
Learning Self-Regularized Adversarial Views for Self-Supervised Vision Transformers Tao Tang Changlin Li Guangrun Wang Kaicheng Yu Xiaojun Chang Xiaodan Liang ViT 20 1 0 16 Oct 2022
Automatic Data Augmentation via Invariance-Constrained Learning Ignacio Hounie Luiz F. O. Chamon Alejandro Ribeiro 23 10 0 29 Sep 2022
Enhance the Visual Representation via Discrete Adversarial Training Xiaofeng Mao YueFeng Chen Ranjie Duan Yao Zhu Gege Qi Shaokai Ye Xiaodan Li Rong Zhang Hui Xue 39 31 0 16 Sep 2022