TrivialAugment: Tuning-free Yet State-of-the-Art Data Augmentation

18 March 2021

Papers citing "TrivialAugment: Tuning-free Yet State-of-the-Art Data Augmentation"

44 / 44 papers shown

Title
Reducing Annotation Burden in Physical Activity Research Using Vision-Language Models Abram Schonfeldt Benjamin Maylor Xiaofang Chen Ronald Clark Aiden Doherty 68 0 0 06 May 2025
When Dynamic Data Selection Meets Data Augmentation Steve Yang Peng Ye Furao Shen Dongzhan Zhou 29 0 0 02 May 2025
Occlusion-aware Driver Monitoring System using the Driver Monitoring Dataset P. Cañas Alexander Diez David Galvañ Marcos Nieto Igor Rodríguez 149 0 0 29 Apr 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
Do ImageNet-trained models learn shortcuts? The impact of frequency shortcuts on generalization Shunxin Wang Raymond N. J. Veldhuis N. Strisciuglio VLM 77 0 0 05 Mar 2025
Keypoint Aware Masked Image Modelling Madhava Krishna Convin.AI 73 0 0 03 Jan 2025
Revisiting Video Quality Assessment from the Perspective of Generalization Xinli Yue Jianhui Sun Liangchao Yao Fan Xia Yuetang Deng ... Lei Li Fengyun Rao Jing Lv Qian Wang Lingchen Zhao MoMe 32 0 0 23 Sep 2024
EntAugment: Entropy-Driven Adaptive Data Augmentation Framework for Image Classification Suorong Yang Furao Shen Jian Zhao AAML 37 1 0 10 Sep 2024
Deep Companion Learning: Enhancing Generalization Through Historical Consistency Ruizhao Zhu Venkatesh Saligrama FedML 40 0 0 26 Jul 2024
MetaAug: Meta-Data Augmentation for Post-Training Quantization Cuong Pham Hoang Anh Dung Cuong C. Nguyen Trung Le Dinh Q. Phung Gustavo Carneiro Thanh-Toan Do MQ 44 0 0 20 Jul 2024
A Pattern Language for Machine Learning Tasks Benjamin Rodatz Ian Fan Tuomas Laakkonen Neil John Ortega Thomas Hoffman Vincent Wang-Ma'scianica 56 3 0 02 Jul 2024
Which Backbone to Use: A Resource-efficient Domain Specific Comparison for Computer Vision Pranav Jeevan Amit Sethi VLM 33 4 0 09 Jun 2024
Robust Classification by Coupling Data Mollification with Label Smoothing Markus Heinonen Ba-Hien Tran Michael Kampffmeyer Maurizio Filippone 73 0 0 03 Jun 2024
Evolve Cost-aware Acquisition Functions Using Large Language Models Yiming Yao Fei Liu Ji Cheng Qingfu Zhang 51 7 0 25 Apr 2024
CAAP: Class-Dependent Automatic Data Augmentation Based On Adaptive Policies For Time Series Tien-Yu Chang Hao Dai Vincent S. Tseng AI4TS 31 0 0 01 Apr 2024
Bidirectional Multi-Step Domain Generalization for Visible-Infrared Person Re-Identification Mahdi Alehdaghi Pourya Shamsolmoali Rafael M. O. Cruz Eric Granger 44 1 0 16 Mar 2024
Approximate Nullspace Augmented Finetuning for Robust Vision Transformers Haoyang Liu Aditya Singh Yijiang Li Haohan Wang AAML ViT 39 1 0 15 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
Fine-tuning with Very Large Dropout Jianyu Zhang Léon Bottou 44 1 0 01 Mar 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
Out-of-Distribution Detection & Applications With Ablated Learned Temperature Energy Will LeVine Benjamin Pikus Jacob Phillips Berk Norman Fernando Amat Gil Sean Hendryx OODD 75 1 0 22 Jan 2024
MGAug: Multimodal Geometric Augmentation in Latent Spaces of Image Deformations Tonmoy Hossain Miaomiao Zhang 19 2 0 20 Dec 2023
Occlusion Sensitivity Analysis with Augmentation Subspace Perturbation in Deep Feature Space Pedro Valois Koichiro Niinuma Kazuhiro Fukui AAML 26 4 0 25 Nov 2023
dacl1k: Real-World Bridge Damage Dataset Putting Open-Source Data to the Test Johannes Flotzinger Philipp J. Rösch Norbert Oswald T. Braml 26 0 0 07 Sep 2023
GKGNet: Group K-Nearest Neighbor based Graph Convolutional Network for Multi-Label Image Recognition Ruijie Yao Sheng Jin Lumin Xu Wang Zeng Wentao Liu Chao Qian Ping Luo Ji Wu 28 2 0 28 Aug 2023
Uncertainty-Aware Cross-Modal Transfer Network for Sketch-Based 3D Shape Retrieval Yiyang Cai Jiaming Lu Jiewen Wang Shuang Liang 3DV 3DPC 26 4 0 11 Aug 2023
Improving Generalization in Visual Reinforcement Learning via Conflict-aware Gradient Agreement Augmentation Siao Liu Zhaoyu Chen Yang Liu Yuzheng Wang Dingkang Yang ... Ziqing Zhou Xie Yi Wei Li Wenqiang Zhang Zhongxue Gan 41 22 0 02 Aug 2023
Learning Better with Less: Effective Augmentation for Sample-Efficient Visual Reinforcement Learning Guozheng Ma Linrui Zhang Haoyu Wang Lu Li Zilin Wang Zhen Wang Li Shen Xueqian Wang Dacheng Tao 42 10 0 25 May 2023
PED-ANOVA: Efficiently Quantifying Hyperparameter Importance in Arbitrary Subspaces Shuhei Watanabe Archit Bansal Frank Hutter 32 12 0 20 Apr 2023
Equiangular Basis Vectors Yang Shen Xuhao Sun Xiuying Wei 41 7 0 21 Mar 2023
Data Augmentation Alone Can Improve Adversarial Training Lin Li Michael W. Spratling 16 50 0 24 Jan 2023
RangeAugment: Efficient Online Augmentation with Range Learning Sachin Mehta Saeid Naderiparizi Fartash Faghri Maxwell Horton Lailin Chen Ali Farhadi Oncel Tuzel Mohammad Rastegari 26 6 0 20 Dec 2022
A Critical Appraisal of Data Augmentation Methods for Imaging-Based Medical Diagnosis Applications Tara Pattilachan Ugur Demir Elif Keles Debesh Jha D. Klatte M. Engels S. Hoogenboom C. Bolan Michael B. Wallace Ulas Bagci MedIm 18 2 0 14 Dec 2022
Augmentation Matters: A Simple-yet-Effective Approach to Semi-supervised Semantic Segmentation Zhen Zhao Lihe Yang Sifan Long Jimin Pi Luping Zhou Jingdong Wang 31 73 0 09 Dec 2022
MixBoost: Improving the Robustness of Deep Neural Networks by Boosting Data Augmentation Zhendong Liu Wenyu Jiang Min Guo Chongjun Wang AAML 21 1 0 08 Dec 2022
Instance-specific and Model-adaptive Supervision for Semi-supervised Semantic Segmentation Zhen Zhao Sifan Long Jimin Pi Jingdong Wang Luping Zhou 26 29 0 21 Nov 2022
Soft Augmentation for Image Classification Yang Liu Shen Yan Laura Leal-Taixé James Hays Deva Ramanan 29 11 0 09 Nov 2022
How Much Data Are Augmentations Worth? An Investigation into Scaling Laws, Invariance, and Implicit Regularization Jonas Geiping Micah Goldblum Gowthami Somepalli Ravid Shwartz-Ziv Tom Goldstein A. Wilson 26 35 0 12 Oct 2022
Automatic Data Augmentation via Invariance-Constrained Learning Ignacio Hounie Luiz F. O. Chamon Alejandro Ribeiro 23 10 0 29 Sep 2022
WaveMix: A Resource-efficient Neural Network for Image Analysis Pranav Jeevan Kavitha Viswanathan S. AnanduA A. Sethi 20 20 0 28 May 2022
Scene Clustering Based Pseudo-labeling Strategy for Multi-modal Aerial View Object Classification Jun-chen Yu Hao Chang Keda Lu Liwen Zhang Shenshen Du Zhong Zhang 29 2 0 04 May 2022
Deep AutoAugment Yu Zheng Z. Zhang Shen Yan Mi Zhang ViT 23 26 0 11 Mar 2022
TeachAugment: Data Augmentation Optimization Using Teacher Knowledge Teppei Suzuki ViT 21 48 0 25 Feb 2022
Smart(Sampling)Augment: Optimal and Efficient Data Augmentation for Semantic Segmentation Misgana Negassi Diane Wagner A. Reiterer 17 13 0 31 Oct 2021