ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2104.03054
  4. Cited By
Artificial and beneficial -- Exploiting artificial images for aerial
  vehicle detection

Artificial and beneficial -- Exploiting artificial images for aerial vehicle detection

7 April 2021
I. Weber
J. Bongartz
R. Roscher
ArXivPDFHTML

Papers citing "Artificial and beneficial -- Exploiting artificial images for aerial vehicle detection"

48 / 48 papers shown
Title
EAGLE: Large-scale Vehicle Detection Dataset in Real-World Scenarios
  using Aerial Imagery
EAGLE: Large-scale Vehicle Detection Dataset in Real-World Scenarios using Aerial Imagery
S. Azimi
R. Bahmanyar
C. Henry
F. Kurz
123
30
0
12 Jul 2020
SkyScapes -- Fine-Grained Semantic Understanding of Aerial Scenes
SkyScapes -- Fine-Grained Semantic Understanding of Aerial Scenes
S. Azimi
C. Henry
Lars Sommer
Arne Schumann
E. Vig
65
56
0
12 Jul 2020
RarePlanes: Synthetic Data Takes Flight
RarePlanes: Synthetic Data Takes Flight
Jacob Shermeyer
T. Hossler
A. V. Etten
Daniel Hogan
Ryan Lewis
Daeil Kim
56
106
0
04 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
78
497
0
10 May 2020
YOLOv4: Optimal Speed and Accuracy of Object Detection
YOLOv4: Optimal Speed and Accuracy of Object Detection
Alexey Bochkovskiy
Chien-Yao Wang
H. Liao
VLM
ObjD
156
12,268
0
23 Apr 2020
A Simple Framework for Contrastive Learning of Visual Representations
A Simple Framework for Contrastive Learning of Visual Representations
Ting-Li Chen
Simon Kornblith
Mohammad Norouzi
Geoffrey E. Hinton
SSL
358
18,752
0
13 Feb 2020
FixMatch: Simplifying Semi-Supervised Learning with Consistency and
  Confidence
FixMatch: Simplifying Semi-Supervised Learning with Consistency and Confidence
Kihyuk Sohn
David Berthelot
Chun-Liang Li
Zizhao Zhang
Nicholas Carlini
E. D. Cubuk
Alexey Kurakin
Han Zhang
Colin Raffel
AAML
155
3,549
0
21 Jan 2020
Bridging the Gap Between Anchor-based and Anchor-free Detection via
  Adaptive Training Sample Selection
Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection
Shifeng Zhang
Cheng Chi
Yongqiang Yao
Zhen Lei
Stan Z. Li
ObjD
154
1,545
0
05 Dec 2019
PyTorch: An Imperative Style, High-Performance Deep Learning Library
PyTorch: An Imperative Style, High-Performance Deep Learning Library
Adam Paszke
Sam Gross
Francisco Massa
Adam Lerer
James Bradbury
...
Sasank Chilamkurthy
Benoit Steiner
Lu Fang
Junjie Bai
Soumith Chintala
ODL
493
42,407
0
03 Dec 2019
EfficientDet: Scalable and Efficient Object Detection
EfficientDet: Scalable and Efficient Object Detection
Mingxing Tan
Ruoming Pang
Quoc V. Le
96
5,048
0
20 Nov 2019
Distance-IoU Loss: Faster and Better Learning for Bounding Box
  Regression
Distance-IoU Loss: Faster and Better Learning for Bounding Box Regression
Zhaohui Zheng
Ping Wang
Wei Liu
Jinze Li
Rongguang Ye
Dongwei Ren
NoLa
100
3,700
0
19 Nov 2019
Self-training with Noisy Student improves ImageNet classification
Self-training with Noisy Student improves ImageNet classification
Qizhe Xie
Minh-Thang Luong
Eduard H. Hovy
Quoc V. Le
NoLa
307
2,386
0
11 Nov 2019
Truck Traffic Monitoring with Satellite Images
Truck Traffic Monitoring with Satellite Images
L. Kaack
George H. Chen
M. G. Morgan
28
22
0
17 Jul 2019
CutMix: Regularization Strategy to Train Strong Classifiers with
  Localizable Features
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features
Sangdoo Yun
Dongyoon Han
Seong Joon Oh
Sanghyuk Chun
Junsuk Choe
Y. Yoo
OOD
609
4,778
0
13 May 2019
MixMatch: A Holistic Approach to Semi-Supervised Learning
MixMatch: A Holistic Approach to Semi-Supervised Learning
David Berthelot
Nicholas Carlini
Ian Goodfellow
Nicolas Papernot
Avital Oliver
Colin Raffel
140
3,026
0
06 May 2019
FCOS: Fully Convolutional One-Stage Object Detection
FCOS: Fully Convolutional One-Stage Object Detection
Zhi Tian
Chunhua Shen
Hao Chen
Tong He
ObjD
126
5,007
0
02 Apr 2019
Semantic Image Synthesis with Spatially-Adaptive Normalization
Semantic Image Synthesis with Spatially-Adaptive Normalization
Taesung Park
Ming-Yuan Liu
Ting-Chun Wang
Jun-Yan Zhu
156
2,685
0
18 Mar 2019
Generalized Intersection over Union: A Metric and A Loss for Bounding
  Box Regression
Generalized Intersection over Union: A Metric and A Loss for Bounding Box Regression
S. Hamid Rezatofighi
Deyuan Li
JunYoung Gwak
Amir Sadeghian
Ian Reid
Silvio Savarese
147
4,163
0
25 Feb 2019
Bag of Freebies for Training Object Detection Neural Networks
Bag of Freebies for Training Object Detection Neural Networks
Zhi-Li Zhang
Tong He
Hang Zhang
Zhongyue Zhang
Junyuan Xie
Mu Li
VLM
ObjD
49
187
0
11 Feb 2019
The Effects of Super-Resolution on Object Detection Performance in
  Satellite Imagery
The Effects of Super-Resolution on Object Detection Performance in Satellite Imagery
Jacob Shermeyer
A. V. Etten
ObjD
57
218
0
10 Dec 2018
Data Augmentation using Random Image Cropping and Patching for Deep CNNs
Data Augmentation using Random Image Cropping and Patching for Deep CNNs
Ryo Takahashi
Takashi Matsubara
K. Uehara
58
330
0
22 Nov 2018
Retina U-Net: Embarrassingly Simple Exploitation of Segmentation
  Supervision for Medical Object Detection
Retina U-Net: Embarrassingly Simple Exploitation of Segmentation Supervision for Medical Object Detection
Paul F. Jaeger
Simon A. A. Kohl
S. Bickelhaupt
Fabian Isensee
T. Kuder
H. Schlemmer
Klaus H. Maier-Hein
SSeg
92
196
0
21 Nov 2018
Salience Biased Loss for Object Detection in Aerial Images
Salience Biased Loss for Object Detection in Aerial Images
Peng Sun
Guang Chen
Luke M. Guerdan
Yi Shang
59
18
0
18 Oct 2018
Satellite Imagery Multiscale Rapid Detection with Windowed Networks
Satellite Imagery Multiscale Rapid Detection with Windowed Networks
A. V. Etten
ObjD
52
62
0
25 Sep 2018
Object Detection from Scratch with Deep Supervision
Object Detection from Scratch with Deep Supervision
Zhiqiang Shen
Zhuang Liu
Jianguo Li
Yu-Gang Jiang
Yurong Chen
Xiangyang Xue
ObjD
56
78
0
25 Sep 2018
Training Deep Networks with Synthetic Data: Bridging the Reality Gap by
  Domain Randomization
Training Deep Networks with Synthetic Data: Bridging the Reality Gap by Domain Randomization
Jonathan Tremblay
Aayush Prakash
David Acuna
M. Brophy
Varun Jampani
Cem Anil
Thang To
Eric Cameracci
Shaad Boochoon
Stan Birchfield
OOD
63
815
0
18 Apr 2018
A disciplined approach to neural network hyper-parameters: Part 1 --
  learning rate, batch size, momentum, and weight decay
A disciplined approach to neural network hyper-parameters: Part 1 -- learning rate, batch size, momentum, and weight decay
L. Smith
281
1,031
0
26 Mar 2018
Deep Image Prior
Deep Image Prior
Dmitry Ulyanov
Andrea Vedaldi
Victor Lempitsky
SupR
119
3,151
0
29 Nov 2017
DOTA: A Large-scale Dataset for Object Detection in Aerial Images
DOTA: A Large-scale Dataset for Object Detection in Aerial Images
Gui-Song Xia
X. Bai
Jian Ding
Zhen Zhu
Serge J. Belongie
Jiebo Luo
Mihai Datcu
Marcello Pelillo
Liangpei Zhang
ObjD
125
2,175
0
28 Nov 2017
mixup: Beyond Empirical Risk Minimization
mixup: Beyond Empirical Risk Minimization
Hongyi Zhang
Moustapha Cissé
Yann N. Dauphin
David Lopez-Paz
NoLa
276
9,760
0
25 Oct 2017
Improved Regularization of Convolutional Neural Networks with Cutout
Improved Regularization of Convolutional Neural Networks with Cutout
Terrance Devries
Graham W. Taylor
109
3,764
0
15 Aug 2017
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era
Revisiting Unreasonable Effectiveness of Data in Deep Learning Era
Chen Sun
Abhinav Shrivastava
Saurabh Singh
Abhinav Gupta
VLM
182
2,398
0
10 Jul 2017
Zero-Shot Learning -- A Comprehensive Evaluation of the Good, the Bad
  and the Ugly
Zero-Shot Learning -- A Comprehensive Evaluation of the Good, the Bad and the Ugly
Yongqin Xian
Christoph H. Lampert
Bernt Schiele
Zeynep Akata
VLM
141
1,567
0
03 Jul 2017
Learning from Simulated and Unsupervised Images through Adversarial
  Training
Learning from Simulated and Unsupervised Images through Adversarial Training
A. Shrivastava
Tomas Pfister
Oncel Tuzel
J. Susskind
Wenda Wang
Russ Webb
GAN
103
1,801
0
22 Dec 2016
Feature Pyramid Networks for Object Detection
Feature Pyramid Networks for Object Detection
Nayeon Lee
Piotr Dollár
Ross B. Girshick
Kaiming He
Bharath Hariharan
Serge J. Belongie
ObjD
466
22,102
0
09 Dec 2016
Aggregated Residual Transformations for Deep Neural Networks
Aggregated Residual Transformations for Deep Neural Networks
Saining Xie
Ross B. Girshick
Piotr Dollár
Zhuowen Tu
Kaiming He
509
10,322
0
16 Nov 2016
A Large Contextual Dataset for Classification, Detection and Counting of
  Cars with Deep Learning
A Large Contextual Dataset for Classification, Detection and Counting of Cars with Deep Learning
T. Nathan Mundhenk
G. Konjevod
W. Sakla
K. Boakye
76
337
0
14 Sep 2016
Playing for Data: Ground Truth from Computer Games
Playing for Data: Ground Truth from Computer Games
Stephan R. Richter
Vibhav Vineet
Stefan Roth
V. Koltun
VLM
120
2,009
0
07 Aug 2016
Deep CORAL: Correlation Alignment for Deep Domain Adaptation
Deep CORAL: Correlation Alignment for Deep Domain Adaptation
Baochen Sun
Kate Saenko
OOD
100
3,152
0
06 Jul 2016
Wide Residual Networks
Wide Residual Networks
Sergey Zagoruyko
N. Komodakis
334
7,984
0
23 May 2016
How useful is photo-realistic rendering for visual learning?
How useful is photo-realistic rendering for visual learning?
Yair Movshovitz-Attias
T. Kanade
Yaser Sheikh
3DH
3DV
67
150
0
26 Mar 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
193,878
0
10 Dec 2015
SSD: Single Shot MultiBox Detector
SSD: Single Shot MultiBox Detector
Wen Liu
Dragomir Anguelov
D. Erhan
Christian Szegedy
Scott E. Reed
Cheng-Yang Fu
Alexander C. Berg
ObjD
BDL
229
29,816
0
08 Dec 2015
You Only Look Once: Unified, Real-Time Object Detection
You Only Look Once: Unified, Real-Time Object Detection
Joseph Redmon
S. Divvala
Ross B. Girshick
Ali Farhadi
ObjD
688
36,935
0
08 Jun 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal
  Networks
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren
Kaiming He
Ross B. Girshick
Jian Sun
AIMat
ObjD
499
62,270
0
04 Jun 2015
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
413
43,638
0
01 May 2014
CNN Features off-the-shelf: an Astounding Baseline for Recognition
CNN Features off-the-shelf: an Astounding Baseline for Recognition
A. Razavian
Hossein Azizpour
Josephine Sullivan
S. Carlsson
157
4,942
0
23 Mar 2014
Rich feature hierarchies for accurate object detection and semantic
  segmentation
Rich feature hierarchies for accurate object detection and semantic segmentation
Ross B. Girshick
Jeff Donahue
Trevor Darrell
Jitendra Malik
ObjD
289
26,186
0
11 Nov 2013
1