Data Augmentation using Random Image Cropping and Patching for Deep CNNs

22 November 2018

Papers citing "Data Augmentation using Random Image Cropping and Patching for Deep CNNs"

50 / 87 papers shown

Title
AdaptoVision: A Multi-Resolution Image Recognition Model for Robust and Scalable Classification Md. Sanaullah Chowdhury Lameya Sabrin VLM 37 0 0 17 Apr 2025
ForAug: Recombining Foregrounds and Backgrounds to Improve Vision Transformer Training with Bias Mitigation Tobias Christian Nauen Brian B. Moser Federico Raue Stanislav Frolov Andreas Dengel ViT 60 0 0 12 Mar 2025
Image compositing is all you need for data augmentation Ang Jia Ning Shermaine Michalis Lazarou Tania Stathaki 62 1 0 20 Feb 2025
Enhancing Graph Self-Supervised Learning with Graph Interplay Xinjian Zhao Wei Pang Xiangru Jian Yaoyao Xu Chaolong Ying Tianshu Yu 56 0 0 17 Jan 2025
NBBOX: Noisy Bounding Box Improves Remote Sensing Object Detection Yechan Kim SooYeon Kim Moongu Jeon ViT 50 1 0 08 Jan 2025
Appearance Matching Adapter for Exemplar-based Semantic Image Synthesis in-the-Wild Siyoon Jin Jisu Nam Jiyoung Kim Dahyun Chung Yeong-Seok Kim Joonhyung Park Heonjeong Chu Seungryong Kim DiffM 82 0 0 04 Dec 2024
NucleiMix: Realistic Data Augmentation for Nuclei Instance Segmentation Jiamu Wang Jin Tae Kwak 28 0 0 22 Oct 2024
A Survey on Data Synthesis and Augmentation for Large Language Models Ke Wang Jiahui Zhu Minjie Ren Ziqiang Liu Shiwei Li ... Chenkai Zhang Xiaoyu Wu Qiqi Zhan Qingjie Liu Yunhong Wang SyDa 42 18 0 16 Oct 2024
DFMSD: Dual Feature Masking Stage-wise Knowledge Distillation for Object Detection Zhourui Zhang Jun Li Zhijian Wu Jifeng Shen Jianhua Xu 38 0 0 18 Jul 2024
Neural Operator-Based Proxy for Reservoir Simulations Considering Varying Well Settings, Locations, and Permeability Fields Daniel Badawi Eduardo Gildin OOD AI4CE 21 4 0 13 Jul 2024
A Novel Time Series-to-Image Encoding Approach for Weather Phenomena Classification Christian Giannetti 25 0 0 07 Jun 2024
AdaFisher: Adaptive Second Order Optimization via Fisher Information Damien Martins Gomes Yanlei Zhang Eugene Belilovsky Guy Wolf Mahdi S. Hosseini ODL 76 2 0 26 May 2024
NERULA: A Dual-Pathway Self-Supervised Learning Framework for Electrocardiogram Signal Analysis G. Manimaran S. Puthusserypady Helena Domínguez A. Atienza J. Bardram 30 1 0 21 May 2024
A Comprehensive Survey on Data Augmentation Zaitian Wang Pengfei Wang Kunpeng Liu Pengyang Wang Yanjie Fu Chang-Tien Lu Charu Aggarwal Jian Pei Yuanchun Zhou ViT 109 22 0 15 May 2024
Generalization Gap in Data Augmentation: Insights from Illumination Jianqiang Xiao Weiwen Guo Junfeng Liu Mengze Li 30 2 0 11 Apr 2024
Self-Supervised Representation Learning with Meta Comprehensive Regularization Huijie Guo Ying Ba Jie Hu Hui Xiong Jingyao Wang Lei Shi SSL 38 5 0 03 Mar 2024
Enhancing Protein Predictive Models via Proteins Data Augmentation: A Benchmark and New Directions Rui Sun Lirong Wu Haitao Lin Yufei Huang Stan Z. Li 36 1 0 01 Mar 2024
A Survey on Data Augmentation in Large Model Era Yue Zhou Chenlu Guo Xu Wang Yi-Ju Chang Yuan Wu LM&MA VLM 49 23 0 27 Jan 2024
Traffic Cameras to detect inland waterway barge traffic: An Application of machine learning Geoffery Agorku Sarah Hernandez Maria Falquez Subhadipto Poddar Kwadwo Amankwah-Nkyi 31 1 0 05 Jan 2024
Benchmarking PathCLIP for Pathology Image Analysis Sunyi Zheng Xiaonan Cui Yuxuan Sun Jingxiong Li Honglin Li Yunlong Zhang Pingyi Chen Xueping Jing Zhaoxiang Ye Lin Yang VLM 29 7 0 05 Jan 2024
Tailoring Mixup to Data for Calibration Quentin Bouniot Pavlo Mozharovskyi Florence dÁlché-Buc 61 1 0 02 Nov 2023
A Coarse-to-Fine Pseudo-Labeling (C2FPL) Framework for Unsupervised Video Anomaly Detection Anas Al-Lahham Nurbek Tastan Muhammad Zaigham Zaheer Karthik Nandakumar 27 11 0 26 Oct 2023
Nighttime Thermal Infrared Image Colorization with Feedback-based Object Appearance Learning Fuya Luo Shu Liu Yijun Cao Kai-Fu Yang Chang-Yong Xie Yong Liu Yongjie Li 35 3 0 24 Oct 2023
Fine-grained Recognition with Learnable Semantic Data Augmentation Yifan Pu Yizeng Han Yulin Wang Junlan Feng Chao Deng Gao Huang 32 27 0 01 Sep 2023
Latent Code Augmentation Based on Stable Diffusion for Data-free Substitute Attacks Mingwen Shao Lingzhuang Meng Yuanjian Qiao Lixu Zhang W. Zuo DiffM 29 0 0 24 Jul 2023
Towards Adaptable and Interactive Image Captioning with Data Augmentation and Episodic Memory Aliki Anagnostopoulou Mareike Hartmann Daniel Sonntag CLL VLM 23 0 0 06 Jun 2023
Low-complexity deep learning frameworks for acoustic scene classification using teacher-student scheme and multiple spectrograms L. D. Pham Dat Ngo Cam Le Anahid N. Jalali Alexander Schindler 14 1 0 16 May 2023
Physical Knowledge Enhanced Deep Neural Network for Sea Surface Temperature Prediction Yuxin Meng Feng Gao Eric Rigall Ran Dong Junyu Dong Q. Du 29 20 0 19 Apr 2023
Augmenting Medical Imaging: A Comprehensive Catalogue of 65 Techniques for Enhanced Data Analysis M. Cossio 8 13 0 02 Mar 2023
What Are Effective Labels for Augmented Data? Improving Calibration and Robustness with AutoLabel Yao Qin Xuezhi Wang Balaji Lakshminarayanan Ed H. Chi Alex Beutel UQCV 22 4 0 22 Feb 2023
Rethinking Soft Label in Label Distribution Learning Perspective Seungbum Hong Jihun Yoon Bogyu Park Min-Kook Choi 31 0 0 31 Jan 2023
OccluMix: Towards De-Occlusion Virtual Try-on by Semantically-Guided Mixup Zhi Yang Junyang Chen Yukai Shi Hao Li Tianshui Chen Liang Lin DiffM 86 16 0 03 Jan 2023
Self-supervised learning of audio representations using angular contrastive loss Shanshan Wang S. Tripathy A. Mesaros SSL 24 4 0 10 Nov 2022
A Robust and Low Complexity Deep Learning Model for Remote Sensing Image Classification Cam Le L. D. Pham Nghia Nvn Truong Thao Nguyen L. Trang 23 2 0 05 Nov 2022
Robust, General, and Low Complexity Acoustic Scene Classification Systems and An Effective Visualization for Presenting a Sound Scene Context L. D. Pham Dusan Salovic Anahid N. Jalali Alexander Schindler Khoa Tran H. Vu Phu X. Nguyen 29 5 0 16 Oct 2022
SR-GCL: Session-Based Recommendation with Global Context Enhanced Augmentation in Contrastive Learning Eunkyu Oh Taehun Kim Minsoo Kim Yunhu Ji Sushil Khyalia 28 1 0 22 Sep 2022
Automated Defect Recognition of Castings defects using Neural Networks Alberto García-Pérez M. J. Gómez-Silva A. D. L. Escalera MedIm AI4CE 79 23 0 06 Sep 2022
A Unified Analysis of Mixed Sample Data Augmentation: A Loss Function Perspective Chanwoo Park Sangdoo Yun Sanghyuk Chun AAML 21 32 0 21 Aug 2022
TokenMix: Rethinking Image Mixing for Data Augmentation in Vision Transformers Jihao Liu B. Liu Hang Zhou Hongsheng Li Yu Liu ViT 24 66 0 18 Jul 2022
Remote Sensing Image Classification using Transfer Learning and Attention Based Deep Neural Network L. D. Pham Khoa Tran Dat Ngo Jasmin Lampert Alexander Schindler 14 2 0 20 Jun 2022
Interactive Machine Learning for Image Captioning Mareike Hartmann Aliki Anagnostopoulou Daniel Sonntag VLM 11 4 0 28 Feb 2022
Model-Agnostic Augmentation for Accurate Graph Classification Jaemin Yoo Sooyeon Shim U. Kang GNN 29 29 0 21 Feb 2022
MyoPS: A Benchmark of Myocardial Pathology Segmentation Combining Three-Sequence Cardiac Magnetic Resonance Images Lei Li Fuping Wu Sihan Wang Xinzhe Luo Carlos Martín-Isla ... Guocai Liu Yong-quan Xia Guotai Wang Sergio Escalera Xiahai Zhuang 24 34 0 10 Jan 2022
GUNNEL: Guided Mixup Augmentation and Multi-View Fusion for Aquatic Animal Segmentation Minh-Quan Le Trung-Nghia Le Tam V. Nguyen Isao Echizen M. Tran 29 0 0 12 Dec 2021
PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures Dan Hendrycks Andy Zou Mantas Mazeika Leonard Tang Bo-wen Li D. Song Jacob Steinhardt UQCV 23 137 0 09 Dec 2021
SelectAugment: Hierarchical Deterministic Sample Selection for Data Augmentation Shiqi Lin Zhizheng Zhang Xin Li Wenjun Zeng Zhibo Chen 39 9 0 06 Dec 2021
Using Fictitious Class Representations to Boost Discriminative Zero-Shot Learners Mohammed Dabbah Ran El-Yaniv 13 0 0 26 Nov 2021
Domain-Agnostic Clustering with Self-Distillation Mohammed Adnan Yani Andrew Ioannou Chuan-Yung Tsai Graham W. Taylor FedML SSL OOD 14 2 0 23 Nov 2021
Adversarial Robustness with Semi-Infinite Constrained Learning Alexander Robey Luiz F. O. Chamon George J. Pappas Hamed Hassani Alejandro Ribeiro AAML OOD 118 42 0 29 Oct 2021
Training Lightweight CNNs for Human-Nanodrone Proximity Interaction from Small Datasets using Background Randomization Marco Ferri Dario Mantegazza Elia Cereda Nicky Zimmerman L. Gambardella Daniele Palossi Jérôme Guzzi Alessandro Giusti 32 0 0 27 Oct 2021