Learning Data Augmentation Strategies for Object Detection

26 June 2019

Papers citing "Learning Data Augmentation Strategies for Object Detection"

50 / 159 papers shown

Title
Adversarial Feature Augmentation and Normalization for Visual Recognition Tianlong Chen Yu Cheng Zhe Gan Jianfeng Wang Lijuan Wang Zhangyang Wang Jingjing Liu AAML ViT 18 19 0 22 Mar 2021
Control Distance IoU and Control Distance IoU Loss Function for Better Bounding Box Regression Dong Chen Duoqian Miao 18 17 0 22 Mar 2021
Consistency-based Active Learning for Object Detection Weiping Yu Sijie Zhu Taojiannan Yang Cheng Chen ObjD 22 50 0 18 Mar 2021
TrivialAugment: Tuning-free Yet State-of-the-Art Data Augmentation Samuel G. Müller Frank Hutter ViT MQ 16 274 0 18 Mar 2021
Revisiting the Loss Weight Adjustment in Object Detection Wenxin Yu Yucheng Hu Tianxiang Lan Dong Yin 21 2 0 17 Mar 2021
QueryDet: Cascaded Sparse Query for Accelerating High-Resolution Small Object Detection Chenhongyi Yang Zehao Huang Naiyan Wang ObjD 30 225 0 16 Mar 2021
Revisiting ResNets: Improved Training and Scaling Strategies Irwan Bello W. Fedus Xianzhi Du E. D. Cubuk A. Srinivas Nayeon Lee Jonathon Shlens Barret Zoph 29 297 0 13 Mar 2021
Evaluating COPY-BLEND Augmentation for Low Level Vision Tasks P. Shyam S. S. Sengar Kuk-Jin Yoon Kyung-soo Kim DiffM 20 13 0 10 Mar 2021
VIPriors 1: Visual Inductive Priors for Data-Efficient Deep Learning Challenges Robert-Jan Bruintjes A. Lengyel Marcos Baptista-Rios O. Kayhan J. C. V. Gemert VLM 25 11 0 05 Mar 2021
Universal-Prototype Enhancing for Few-Shot Object Detection Aming Wu Yahong Han Linchao Zhu Yi Yang ObjD 37 84 0 01 Mar 2021
Visual diagnosis of the Varroa destructor parasitic mite in honeybees using object detector techniques S. Bilik Lukáš Kratochvíla Adam Ligocki Ondrej Bostik Tomás Zemcík Matous Hybl Karel Horak L. Zalud 25 42 0 26 Feb 2021
Image Augmentation for Multitask Few-Shot Learning: Agricultural Domain Use-Case S. Nesteruk Dmitrii G. Shadrin M. Pukalchik 15 9 0 24 Feb 2021
MosaicOS: A Simple and Effective Use of Object-Centric Images for Long-Tailed Object Detection Cheng Zhang Tai-Yu Pan Yandong Li Hexiang Hu D. Xuan Soravit Changpinyo Boqing Gong Wei-Lun Chao ObjD VLM 71 39 0 17 Feb 2021
Sill-Net: Feature Augmentation with Separated Illumination Representation Hanwang Zhang Zhong Cao Ziang Yan Changshui Zhang 13 26 0 06 Feb 2021
Class balanced underwater object detection dataset generated by class-wise style augmentation Long Chen Junyu Dong Huiyu Zhou 6 3 0 20 Jan 2021
On Data-Augmentation and Consistency-Based Semi-Supervised Learning Atin Ghosh Alexandre Hoang Thiery 73 20 0 18 Jan 2021
Random Shadows and Highlights: A new data augmentation method for extreme lighting conditions Osama Mazhar Jens Kober AAML 13 5 0 13 Jan 2021
Low-cost and high-performance data augmentation for deep-learning-based skin lesion classification Shuwei Shen Mengjuan Xu Fan Zhang Pengfei Shao Honghong Liu ... Chi Zhang Peng Liu Zhihong Zhang Peng Yao Ronald X. Xu 17 10 0 07 Jan 2021
AutoDropout: Learning Dropout Patterns to Regularize Deep Networks Hieu H. Pham Quoc V. Le 76 56 0 05 Jan 2021
Exploring Data Augmentation for Multi-Modality 3D Object Detection Wenwei Zhang Zhe Wang Chen Change Loy 3DPC 19 24 0 23 Dec 2020
Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation Golnaz Ghiasi Huayu Chen A. Srinivas Rui Qian Nayeon Lee E. D. Cubuk Quoc V. Le Barret Zoph ISeg 252 969 0 13 Dec 2020
$Squared $\ell_2$ Norm as Consistency Loss for Leveraging Augmented Data to Learn Robust and Invariant Representations$ Squared $\ell_2$ Norm as Consistency Loss for Leveraging Augmented Data to Learn Robust and Invariant Representations Haohan Wang Zeyi Huang Xindi Wu Eric P. Xing 29 2 0 25 Nov 2020
Industrial object, machine part and defect recognition towards fully automated industrial monitoring employing deep learning. The case of multilevel VGG19 Ioannis D. Apostolopoulos Mpesiana A. Tzani 22 30 0 23 Nov 2020
Evolving Search Space for Neural Architecture Search Yuanzheng Ci Chen Lin Ming-hui Sun Boyu Chen Hongwen Zhang Wanli Ouyang 35 43 0 22 Nov 2020
An Efficient and Scalable Deep Learning Approach for Road Damage Detection Sadra Naddaf-sh M.-Mahdi Naddaf-Sh Amir R. Kashani H. Zargarzadeh 22 57 0 18 Nov 2020
Slender Object Detection: Diagnoses and Improvements Zhaoyi Wan Yimin Chen Sutao Deng Kunpeng Chen Cong Yao Jiebo Luo ObjD 6 8 0 17 Nov 2020
EfficientPose: An efficient, accurate and scalable end-to-end 6D multi object pose estimation approach Yannick Bukschat Marcus Vetter 14 110 0 09 Nov 2020
How many images do I need? Understanding how sample size per class affects deep learning model performance metrics for balanced designs in autonomous wildlife monitoring S. Shahinfar P. Meek G. Falzon 19 150 0 16 Oct 2020
Does Data Augmentation Benefit from Split BatchNorms Amil Merchant Barret Zoph E. D. Cubuk 23 9 0 15 Oct 2020
Exploring the Interchangeability of CNN Embedding Spaces David G. McNeely-White Benjamin Sattelberg Nathaniel Blanchard Ross Beveridge CVBM 11 1 0 05 Oct 2020
WeMix: How to Better Utilize Data Augmentation Yi Tian Xu Asaf Noy Ming Lin Qi Qian Hao Li R. L. Jin 29 16 0 03 Oct 2020
Model Patching: Closing the Subgroup Performance Gap with Data Augmentation Karan Goel Albert Gu Yixuan Li Christopher Ré 8 118 0 15 Aug 2020
RODEO: Replay for Online Object Detection Manoj Acharya Tyler L. Hayes Christopher Kanan ObjD CLL 29 46 0 14 Aug 2020
Visual Imitation Made Easy S. Young Dhiraj Gandhi Shubham Tulsiani Abhinav Gupta Pieter Abbeel Lerrel Pinto 14 134 0 11 Aug 2020
OnlineAugment: Online Data Augmentation with Less Domain Knowledge Zhiqiang Tang Yunhe Gao Leonid Karlinsky P. Sattigeri Rogerio Feris Dimitris N. Metaxas 19 56 0 17 Jul 2020
2nd Place Solution to ECCV 2020 VIPriors Object Detection Challenge Yinzheng Gu Yihan Pan Shizhe Chen 29 1 0 17 Jul 2020
A Vision-based Social Distancing and Critical Density Detection System for COVID-19 Dongfang Yang Ekim Yurtsever Vishnu Renganathan Keith A. Redmill Ü. Özgüner 24 168 0 07 Jul 2020
Extracurricular Learning: Knowledge Transfer Beyond Empirical Distribution Hadi Pouransari Mojan Javaheripi Vinay Sharma Oncel Tuzel 14 5 0 30 Jun 2020
Emergent Properties of Foveated Perceptual Systems Arturo Deza Talia Konkle 16 45 0 14 Jun 2020
Rethinking Pre-training and Self-training Barret Zoph Golnaz Ghiasi Nayeon Lee Huayu Chen Hanxiao Liu E. D. Cubuk Quoc V. Le SSeg 48 645 0 11 Jun 2020
Image Augmentations for GAN Training Zhengli Zhao Zizhao Zhang Ting-Li Chen Sameer Singh Han Zhang 14 136 0 04 Jun 2020
FuCiTNet: Improving the generalization of deep learning networks by the fusion of learned class-inherent transformations M. Rey-Area Emilio Guirado S. Tabik Javier Ruiz-Hidalgo 20 12 0 17 May 2020
A Simple Semi-Supervised Learning Framework for Object Detection Kihyuk Sohn Zizhao Zhang Chun-Liang Li Han Zhang Chen-Yu Lee Tomas Pfister 35 493 0 10 May 2020
AutoCLINT: The Winning Method in AutoCV Challenge 2019 Woonhyuk Baek Ildoo Kim Sungwoong Kim Sungbin Lim 20 2 0 09 May 2020
Dynamic Scale Training for Object Detection Yukang Chen Peizhen Zhang Zeming Li Yanwei Li Xinming Zhang Shiming Xiang Jian Sun Jiaya Jia ObjD 22 60 0 26 Apr 2020
Improving 3D Object Detection through Progressive Population Based Augmentation Shuyang Cheng Zhaoqi Leng E. D. Cubuk Barret Zoph Chunyan Bai ... Vijay Vasudevan Congcong Li Quoc V. Le Jonathon Shlens Dragomir Anguelov 3DPC 20 74 0 02 Apr 2020
Gradient Boosting Neural Networks: GrowNet Sarkhan Badirli Xuanqing Liu Zhengming Xing Avradeep Bhowmik Khoa D. Doan S. Keerthi FedML 14 81 0 19 Feb 2020
Water Supply Prediction Based on Initialized Attention Residual Network Yu Long Jingcheng Wang Jingyi Wang 6 1 0 17 Dec 2019
Adversarial Examples Improve Image Recognition Cihang Xie Mingxing Tan Boqing Gong Jiang Wang Alan Yuille Quoc V. Le AAML 42 564 0 21 Nov 2019
EfficientDet: Scalable and Efficient Object Detection Mingxing Tan Ruoming Pang Quoc V. Le 11 4,947 0 20 Nov 2019