AutoAugment: Learning Augmentation Policies from Data

24 May 2018

Papers citing "AutoAugment: Learning Augmentation Policies from Data"

50 / 351 papers shown

Title
Adaptive Contextual Embedding for Robust Far-View Borehole Detection Xuesong Liu Tianyu Hao Emmett J. Ientilucci 41 0 0 08 May 2025
Dual Attention Driven Lumbar Magnetic Resonance Image Feature Enhancement and Automatic Diagnosis of Herniation Lingrui Zhang Liang Guo Xiao An Feng Lin Binlong Zheng Jun Wang Zhiyu Li 41 0 0 28 Apr 2025
Striving for Simplicity: Simple Yet Effective Prior-Aware Pseudo-Labeling for Semi-Supervised Ultrasound Image Segmentation Yaxiong Chen Yujie Wang Zixuan Zheng Jingliang Hu Yilei Shi Shengwu Xiong Xiao Xiang Zhu Lichao Mou 54 0 0 18 Mar 2025
Robust Asymmetric Heterogeneous Federated Learning with Corrupted Clients Xiuwen Fang Mang Ye Bo Du FedML 74 1 0 12 Mar 2025
You Are Your Own Best Teacher: Achieving Centralized-level Performance in Federated Learning under Heterogeneous and Long-tailed Data Shanshan Yan Zexi Li Chao-Xiang Wu Meng Pang Yang Lu Yan Yan Hanzi Wang FedML 61 0 0 10 Mar 2025
Single Domain Generalization with Adversarial Memory Hao Yan Marzi Heidari Yuhong Guo 126 0 0 08 Mar 2025
S2S2: Semantic Stacking for Robust Semantic Segmentation in Medical Imaging Yimu Pan Sitao Zhang Alison D. Gernand Jeffery A. Goldstein J. Z. Wang 74 1 0 17 Dec 2024
RegMixMatch: Optimizing Mixup Utilization in Semi-Supervised Learning Haorong Han Jidong Yuan Chixuan Wei Zhongyang Yu 196 1 0 14 Dec 2024
Data-efficient Tactile Sensing with Electrical Impedance Tomography Huazhi Dong Ronald B. Liu Leo Micklem Peisan Sharel E F. G. Serchi Yunjie Yang 62 1 0 19 Nov 2024
Locality Alignment Improves Vision-Language Models Ian Covert Tony Sun James Zou Tatsunori Hashimoto VLM 72 4 0 14 Oct 2024
CLOSER: Towards Better Representation Learning for Few-Shot Class-Incremental Learning Junghun Oh Sungyong Baik Kyoung Mu Lee CLL 34 3 0 08 Oct 2024
Reducing and Exploiting Data Augmentation Noise through Meta Reweighting Contrastive Learning for Text Classification Guanyi Mou Yichuan Li Kyumin Lee 36 3 0 26 Sep 2024
Towards Model-Agnostic Dataset Condensation by Heterogeneous Models Jun-Yeong Moon Jung Uk Kim Gyeong-Moon Park DD 35 1 0 22 Sep 2024
Label-free Monitoring of Self-Supervised Learning Progress Isaac Xu Scott Lowe Thomas Trappenberg 32 1 0 10 Sep 2024
ST-SACLF: Style Transfer Informed Self-Attention Classifier for Bias-Aware Painting Classification Mridula Vijendran Frederick W. B. Li Jingjing Deng Hubert P. H. Shum 56 0 0 03 Aug 2024
Depth-Wise Convolutions in Vision Transformers for Efficient Training on Small Datasets Tianxiao Zhang Wenju Xu Bo Luo Guanghui Wang ViT MDE 40 7 0 28 Jul 2024
Deep Companion Learning: Enhancing Generalization Through Historical Consistency Ruizhao Zhu Venkatesh Saligrama FedML 40 0 0 26 Jul 2024
SUMix: Mixup with Semantic and Uncertain Information Huafeng Qin Xin Jin Hongyu Zhu Hongchao Liao M. El-Yacoubi Xinbo Gao UQCV 34 6 0 10 Jul 2024
Improving robustness to corruptions with multiplicative weight perturbations Trung Trinh Markus Heinonen Luigi Acerbi Samuel Kaski 44 0 0 24 Jun 2024
Enhancing Incomplete Multi-modal Brain Tumor Segmentation with Intra-modal Asymmetry and Inter-modal Dependency Weide Liu Jingwen Hou Xiaoyang Zhong Huijing Zhan Jun Cheng Yuming Fang Guanghui Yue 28 0 0 14 Jun 2024
Data Augmentation in Earth Observation: A Diffusion Model Approach Tiago Sousa B. Ries N. Guelfi DiffM 47 2 0 10 Jun 2024
CADE: Cosine Annealing Differential Evolution for Spiking Neural Network Runhua Jiang Guodong Du Shuyang Yu Yifei Guo S. Goh Ho-Kin Tang 46 3 0 04 Jun 2024
A Review on Discriminative Self-supervised Learning Methods in Computer Vision Nikolaos Giakoumoglou Tania Stathaki Athanasios Gkelias SSL 64 1 0 08 May 2024
Effective and Robust Adversarial Training against Data and Label Corruptions Pengfei Zhang Zi Huang Xin-Shun Xu Guangdong Bai 51 4 0 07 May 2024
Policy Gradient-Driven Noise Mask Mehmet Can Yavuz Yang Yang 30 1 0 29 Apr 2024
Benchmarking the Robustness of Temporal Action Detection Models Against Temporal Corruptions Runhao Zeng Xiaoyong Chen Jiaming Liang Huisi Wu Guangzhong Cao Yong Guo AAML 39 3 0 29 Mar 2024
Semi-Supervised Image Captioning Considering Wasserstein Graph Matching Yang Yang 41 0 0 26 Mar 2024
Controlled Training Data Generation with Diffusion Models Teresa Yeo Andrei Atanov Harold Benoit Aleksandr Alekseev Ruchira Ray Pooya Esmaeil Akhoondi Amir Zamir 47 4 0 22 Mar 2024
Data Augmentation in Human-Centric Vision Wentao Jiang Yige Zhang Shaozhong Zheng Si Liu Shuicheng Yan 46 1 0 13 Mar 2024
Data augmentation with automated machine learning: approaches and performance comparison with classical data augmentation methods A. Mumuni F. Mumuni 70 5 0 13 Mar 2024
CyberDemo: Augmenting Simulated Human Demonstration for Real-World Dexterous Manipulation Jun Wang Yuzhe Qin Kaiming Kuang Yigit Korkmaz Akhilan Gurumoorthy Hao Su Xiaolong Wang 43 19 0 22 Feb 2024
Boosting Semi-Supervised 2D Human Pose Estimation by Revisiting Data Augmentation and Consistency Training Huayi Zhou Mukun Luo Fei Jiang Yue Ding Hongtao Lu Kui Jia 46 0 0 18 Feb 2024
Stochastic Subnetwork Annealing: A Regularization Technique for Fine Tuning Pruned Subnetworks Tim Whitaker Darrell Whitley 33 0 0 16 Jan 2024
Revisiting Knowledge Distillation under Distribution Shift Songming Zhang Ziyu Lyu Xiaofeng Chen 32 1 0 25 Dec 2023
Progressive Feature Self-reinforcement for Weakly Supervised Semantic Segmentation Jingxuan He Lechao Cheng Chaowei Fang Zunlei Feng Tingting Mu Min-Gyoo Song 18 7 0 14 Dec 2023
Geometric Data Augmentations to Mitigate Distribution Shifts in Pollen Classification from Microscopic Images Nam Cao O. Saukh 29 2 0 18 Nov 2023
PolyMaX: General Dense Prediction with Mask Transformer Xuan S. Yang Liangzhe Yuan Kimberly Wilber Astuti Sharma Xiuye Gu ... Stephanie Debats Huisheng Wang Hartwig Adam Mikhail Sirotenko Liang-Chieh Chen 28 14 0 09 Nov 2023
Improving Robustness for Vision Transformer with a Simple Dynamic Scanning Augmentation Shashank Kotyan Danilo Vasconcellos Vargas ViT 27 2 0 01 Nov 2023
Semi-supervised multimodal coreference resolution in image narrations A. Goel Basura Fernando Frank Keller Hakan Bilen 38 3 0 20 Oct 2023
On the Over-Memorization During Natural, Robust and Catastrophic Overfitting Runqi Lin Chaojian Yu Bo Han Tongliang Liu 35 7 0 13 Oct 2023
SemiReward: A General Reward Model for Semi-supervised Learning Siyuan Li Weiyang Jin Zedong Wang Fang Wu Zicheng Liu Cheng Tan Stan Z. Li 38 9 0 04 Oct 2023
DataDAM: Efficient Dataset Distillation with Attention Matching A. Sajedi Samir Khaki Ehsan Amjadian Lucy Z. Liu Y. Lawryshyn Konstantinos N. Plataniotis DD 46 59 0 29 Sep 2023
Tackling the Non-IID Issue in Heterogeneous Federated Learning by Gradient Harmonization Xinyu Zhang Weiyu Sun Ying-Cong Chen FedML 36 5 0 13 Sep 2023
CoNe: Contrast Your Neighbours for Supervised Image Classification Mingkai Zheng Shan You Lang Huang Xiu Su Fei Wang Chao Qian Xiaogang Wang Chang Xu VLM 26 0 0 21 Aug 2023
Multi-Level Compositional Reasoning for Interactive Instruction Following Suvaansh Bhambri Byeonghwi Kim Jonghyun Choi LM&Ro 41 11 0 18 Aug 2023
Training on Foveated Images Improves Robustness to Adversarial Attacks Muhammad Ahmed Shah Bhiksha Raj AAML 38 4 0 01 Aug 2023
Conformal prediction under ambiguous ground truth David Stutz Abhijit Guha Roy Tatiana Matejovicova Patricia Strachan A. Cemgil Arnaud Doucet 31 15 0 18 Jul 2023
Automated Polynomial Filter Learning for Graph Neural Networks Wendi Yu Zhichao Hou Xiaorui Liu 24 0 0 16 Jul 2023
InfLoR-SNN: Reducing Information Loss for Spiking Neural Networks Yu-Zhu Guo Y. Chen Liwen Zhang Xiaode Liu Xinyi Tong Yuanyuan Ou Xuhui Huang Zhe Ma AAML 41 3 0 10 Jul 2023
SysNoise: Exploring and Benchmarking Training-Deployment System Inconsistency Yan Wang Yuhang Li Ruihao Gong Aishan Liu Yanfei Wang ... Yongqiang Yao Yunchen Zhang Tianzi Xiao F. Yu Xianglong Liu AAML 32 0 0 01 Jul 2023