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Object-Based Augmentation Improves Quality of Remote Sensing Semantic
  Segmentation
v1v2 (latest)

Object-Based Augmentation Improves Quality of Remote Sensing Semantic Segmentation

12 May 2021
S. Illarionova
S. Nesteruk
Dmitrii G. Shadrin
V. Ignatiev
M. Pukalchik
Ivan Oseledets
ArXiv (abs)PDFHTML

Papers citing "Object-Based Augmentation Improves Quality of Remote Sensing Semantic Segmentation"

14 / 14 papers shown
Title
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
Huayu Chen
A. Srinivas
Rui Qian
Nayeon Lee
E. D. Cubuk
Quoc V. Le
Barret Zoph
ISeg
304
992
0
13 Dec 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
250
3,502
0
30 Sep 2019
Object Detection in Optical Remote Sensing Images: A Survey and A New
  Benchmark
Object Detection in Optical Remote Sensing Images: A Survey and A New Benchmark
Ke Li
G. Wan
Gong Cheng
L. Meng
Junwei Han
64
1,459
0
31 Aug 2019
Optuna: A Next-generation Hyperparameter Optimization Framework
Optuna: A Next-generation Hyperparameter Optimization Framework
Takuya Akiba
Shotaro Sano
Toshihiko Yanase
Takeru Ohta
Masanori Koyama
666
5,835
0
25 Jul 2019
Learning Data Augmentation Strategies for Object Detection
Learning Data Augmentation Strategies for Object Detection
Barret Zoph
E. D. Cubuk
Golnaz Ghiasi
Nayeon Lee
Jonathon Shlens
Quoc V. Le
94
534
0
26 Jun 2019
Deep Learning on Small Datasets without Pre-Training using Cosine Loss
Deep Learning on Small Datasets without Pre-Training using Cosine Loss
Björn Barz
Joachim Denzler
58
132
0
25 Jan 2019
XNet: A convolutional neural network (CNN) implementation for medical
  X-Ray image segmentation suitable for small datasets
XNet: A convolutional neural network (CNN) implementation for medical X-Ray image segmentation suitable for small datasets
Joseph Aylett-Bullock
C. Cuesta-Lázaro
Arnau Quera-Bofarull
61
101
0
03 Dec 2018
Deep Learning Approach for Building Detection in Satellite Multispectral
  Imagery
Deep Learning Approach for Building Detection in Satellite Multispectral Imagery
Geesara Prathap
Ilya M. Afanasyev
39
50
0
10 Nov 2018
Albumentations: fast and flexible image augmentations
Albumentations: fast and flexible image augmentations
A. Buslaev
Alex Parinov
Eugene Khvedchenya
V. Iglovikov
Alexandr A Kalinin
152
1,982
0
18 Sep 2018
Data Augmentation for Skin Lesion Analysis
Data Augmentation for Skin Lesion Analysis
Fábio Perez
C. N. Vasconcelos
Sandra Avila
Eduardo Valle
MedIm
66
170
0
05 Sep 2018
SpaceNet: A Remote Sensing Dataset and Challenge Series
SpaceNet: A Remote Sensing Dataset and Challenge Series
A. V. Etten
David Lindenbaum
Todd M. Bacastow
71
393
0
03 Jul 2018
Satellite imagery analysis for operational damage assessment in
  Emergency situations
Satellite imagery analysis for operational damage assessment in Emergency situations
A. Trekin
G. Novikov
Georgy Potapov
V. Ignatiev
Evgeny Burnaev
42
38
0
19 Feb 2018
Deep learning in remote sensing: a review
Deep learning in remote sensing: a review
Xiaoxiang Zhu
D. Tuia
Lichao Mou
Gui-Song Xia
Liangpei Zhang
Feng Xu
Friedrich Fraundorfer
82
1,611
0
11 Oct 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
204
2,406
0
10 Jul 2017
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