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Learning Data Augmentation Strategies for Object Detection

Learning Data Augmentation Strategies for Object Detection

26 June 2019
Barret Zoph
E. D. Cubuk
Golnaz Ghiasi
Tsung-Yi Lin
Jonathon Shlens
Quoc V. Le
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Papers citing "Learning Data Augmentation Strategies for Object Detection"

33 / 83 papers shown
Title
Two-level Data Augmentation for Calibrated Multi-view Detection
Two-level Data Augmentation for Calibrated Multi-view Detection
Martin Engilberge
Haixin Shi
Zhiye Wang
Pascal Fua
20
9
0
19 Oct 2022
Towards Large-Scale Small Object Detection: Survey and Benchmarks
Towards Large-Scale Small Object Detection: Survey and Benchmarks
Gong Cheng
Xiang Yuan
Xiwen Yao
Ke Yan
Qinghua Zeng
Xingxing Xie
Junwei Han
ObjD
19
303
0
28 Jul 2022
A Survey of Automated Data Augmentation Algorithms for Deep
  Learning-based Image Classification Tasks
A Survey of Automated Data Augmentation Algorithms for Deep Learning-based Image Classification Tasks
Z. Yang
Richard Sinnott
James Bailey
Qiuhong Ke
16
39
0
14 Jun 2022
Vision-State Fusion: Improving Deep Neural Networks for Autonomous
  Robotics
Vision-State Fusion: Improving Deep Neural Networks for Autonomous Robotics
Elia Cereda
Stefano Bonato
Mirko Nava
Alessandro Giusti
Daniele Palossi
16
3
0
13 Jun 2022
A Comprehensive Survey of Image Augmentation Techniques for Deep
  Learning
A Comprehensive Survey of Image Augmentation Techniques for Deep Learning
Mingle Xu
Sook Yoon
A. Fuentes
D. Park
VLM
22
393
0
03 May 2022
SALISA: Saliency-based Input Sampling for Efficient Video Object
  Detection
SALISA: Saliency-based Input Sampling for Efficient Video Object Detection
B. Bejnordi
A. Habibian
Fatih Porikli
Amir Ghodrati
40
12
0
05 Apr 2022
Evolving Neural Selection with Adaptive Regularization
Evolving Neural Selection with Adaptive Regularization
Li Ding
Lee Spector
ODL
15
4
0
04 Apr 2022
ParaPose: Parameter and Domain Randomization Optimization for Pose
  Estimation using Synthetic Data
ParaPose: Parameter and Domain Randomization Optimization for Pose Estimation using Synthetic Data
Frederik Hagelskjær
A. Buch
OOD
14
8
0
02 Mar 2022
Improving the Level of Autism Discrimination through GraphRNN Link
  Prediction
Improving the Level of Autism Discrimination through GraphRNN Link Prediction
Haonan Sun
Q. He
Shouliang Qi
Yudong Yao
Yueyang Teng
17
0
0
19 Feb 2022
Automated Deep Learning: Neural Architecture Search Is Not the End
Automated Deep Learning: Neural Architecture Search Is Not the End
Xuanyi Dong
D. Kedziora
Katarzyna Musial
Bogdan Gabrys
25
26
0
16 Dec 2021
Bootstrap Your Object Detector via Mixed Training
Bootstrap Your Object Detector via Mixed Training
Mengde Xu
Zheng-Wei Zhang
Fangyun Wei
Yutong Lin
Yue Cao
Stephen Lin
Han Hu
Xiang Bai
ObjD
17
6
0
04 Nov 2021
Smart(Sampling)Augment: Optimal and Efficient Data Augmentation for
  Semantic Segmentation
Smart(Sampling)Augment: Optimal and Efficient Data Augmentation for Semantic Segmentation
Misgana Negassi
Diane Wagner
A. Reiterer
9
13
0
31 Oct 2021
Training Lightweight CNNs for Human-Nanodrone Proximity Interaction from
  Small Datasets using Background Randomization
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
19
0
0
27 Oct 2021
Direct Differentiable Augmentation Search
Direct Differentiable Augmentation Search
Aoming Liu
Zehao Huang
Zhiwu Huang
Naiyan Wang
17
32
0
09 Apr 2021
Consistency-based Active Learning for Object Detection
Consistency-based Active Learning for Object Detection
Weiping Yu
Sijie Zhu
Taojiannan Yang
C. L. P. Chen
ObjD
17
50
0
18 Mar 2021
TrivialAugment: Tuning-free Yet State-of-the-Art Data Augmentation
TrivialAugment: Tuning-free Yet State-of-the-Art Data Augmentation
Samuel G. Müller
Frank Hutter
ViT
MQ
16
273
0
18 Mar 2021
QueryDet: Cascaded Sparse Query for Accelerating High-Resolution Small
  Object Detection
QueryDet: Cascaded Sparse Query for Accelerating High-Resolution Small Object Detection
Chenhongyi Yang
Zehao Huang
Naiyan Wang
ObjD
16
224
0
16 Mar 2021
Revisiting ResNets: Improved Training and Scaling Strategies
Revisiting ResNets: Improved Training and Scaling Strategies
Irwan Bello
W. Fedus
Xianzhi Du
E. D. Cubuk
A. Srinivas
Tsung-Yi Lin
Jonathon Shlens
Barret Zoph
27
297
0
13 Mar 2021
Universal-Prototype Enhancing for Few-Shot Object Detection
Universal-Prototype Enhancing for Few-Shot Object Detection
Aming Wu
Yahong Han
Linchao Zhu
Yi Yang
ObjD
26
83
0
01 Mar 2021
Visual diagnosis of the Varroa destructor parasitic mite in honeybees
  using object detector techniques
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
20
42
0
26 Feb 2021
Image Augmentation for Multitask Few-Shot Learning: Agricultural Domain
  Use-Case
Image Augmentation for Multitask Few-Shot Learning: Agricultural Domain Use-Case
S. Nesteruk
Dmitrii G. Shadrin
M. Pukalchik
13
9
0
24 Feb 2021
Low-cost and high-performance data augmentation for deep-learning-based
  skin lesion classification
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
Simple Copy-Paste is a Strong Data Augmentation Method for Instance
  Segmentation
Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation
Golnaz Ghiasi
Yin Cui
A. Srinivas
Rui Qian
Tsung-Yi Lin
E. D. Cubuk
Quoc V. Le
Barret Zoph
ISeg
223
966
0
13 Dec 2020
Industrial object, machine part and defect recognition towards fully
  automated industrial monitoring employing deep learning. The case of
  multilevel VGG19
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
11
30
0
23 Nov 2020
OnlineAugment: Online Data Augmentation with Less Domain Knowledge
OnlineAugment: Online Data Augmentation with Less Domain Knowledge
Zhiqiang Tang
Yunhe Gao
Leonid Karlinsky
P. Sattigeri
Rogerio Feris
Dimitris N. Metaxas
17
56
0
17 Jul 2020
2nd Place Solution to ECCV 2020 VIPriors Object Detection Challenge
2nd Place Solution to ECCV 2020 VIPriors Object Detection Challenge
Yinzheng Gu
Yihan Pan
Shizhe Chen
15
1
0
17 Jul 2020
Emergent Properties of Foveated Perceptual Systems
Emergent Properties of Foveated Perceptual Systems
Arturo Deza
Talia Konkle
11
45
0
14 Jun 2020
A Simple Semi-Supervised Learning Framework for Object Detection
A Simple Semi-Supervised Learning Framework for Object Detection
Kihyuk Sohn
Zizhao Zhang
Chun-Liang Li
Han Zhang
Chen-Yu Lee
Tomas Pfister
18
492
0
10 May 2020
Gradient Boosting Neural Networks: GrowNet
Gradient Boosting Neural Networks: GrowNet
Sarkhan Badirli
Xuanqing Liu
Zhengming Xing
Avradeep Bhowmik
Khoa D. Doan
S. Keerthi
FedML
6
81
0
19 Feb 2020
RandAugment: Practical automated data augmentation with a reduced search
  space
RandAugment: Practical automated data augmentation with a reduced search space
E. D. Cubuk
Barret Zoph
Jonathon Shlens
Quoc V. Le
MQ
8
3,412
0
30 Sep 2019
Recent Advances in Deep Learning for Object Detection
Recent Advances in Deep Learning for Object Detection
Xiongwei Wu
Doyen Sahoo
S. Hoi
VLM
ObjD
30
794
0
10 Aug 2019
Neural Architecture Search with Reinforcement Learning
Neural Architecture Search with Reinforcement Learning
Barret Zoph
Quoc V. Le
264
5,326
0
05 Nov 2016
RenderGAN: Generating Realistic Labeled Data
RenderGAN: Generating Realistic Labeled Data
Leon Sixt
Benjamin Wild
Tim Landgraf
GAN
155
174
0
04 Nov 2016
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