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Albumentations: fast and flexible image augmentations

Albumentations: fast and flexible image augmentations

18 September 2018
A. Buslaev
Alex Parinov
Eugene Khvedchenya
V. Iglovikov
Alexandr A Kalinin
ArXivPDFHTML

Papers citing "Albumentations: fast and flexible image augmentations"

27 / 177 papers shown
Title
Training Strategies and Data Augmentations in CNN-based DeepFake Video
  Detection
Training Strategies and Data Augmentations in CNN-based DeepFake Video Detection
Luca Bondi
E. D. Cannas
Paolo Bestagini
Stefano Tubaro
15
51
0
16 Nov 2020
End-to-end Deep Learning Methods for Automated Damage Detection in
  Extreme Events at Various Scales
End-to-end Deep Learning Methods for Automated Damage Detection in Extreme Events at Various Scales
Y. Bai
H. Sezen
Alper Yilmaz
11
25
0
05 Nov 2020
Synthetic Data Augmentation for Zero-Shot Cross-Lingual Question
  Answering
Synthetic Data Augmentation for Zero-Shot Cross-Lingual Question Answering
Arij Riabi
Thomas Scialom
Rachel Keraron
Benoît Sagot
Djamé Seddah
Jacopo Staiano
142
52
0
23 Oct 2020
Urban Sound Classification : striving towards a fair comparison
Urban Sound Classification : striving towards a fair comparison
Augustin Arnault
Baptiste Hanssens
Nicolas Riche
18
8
0
22 Oct 2020
A Flatter Loss for Bias Mitigation in Cross-dataset Facial Age
  Estimation
A Flatter Loss for Bias Mitigation in Cross-dataset Facial Age Estimation
A. Akbari
Muhammad Awais
Zhenhua Feng
Ammarah Farooq
J. Kittler
CVBM
19
11
0
20 Oct 2020
Impact of lung segmentation on the diagnosis and explanation of COVID-19
  in chest X-ray images
Impact of lung segmentation on the diagnosis and explanation of COVID-19 in chest X-ray images
Lucas O. Teixeira
R. M. Pereira
Diego Bertolini
Luiz Eduardo Soares de Oliveira
L. Nanni
George D. C. Cavalcanti
Yandre M. G. Costa
18
114
0
21 Sep 2020
SCG-Net: Self-Constructing Graph Neural Networks for Semantic
  Segmentation
SCG-Net: Self-Constructing Graph Neural Networks for Semantic Segmentation
Qinghui Liu
Michael C. Kampffmeyer
Robert Jenssen
Arnt-Børre Salberg
GNN
SSeg
28
10
0
03 Sep 2020
CRNNs for Urban Sound Tagging with spatiotemporal context
CRNNs for Urban Sound Tagging with spatiotemporal context
Augustin Arnault
Nicolas Riche
17
7
0
24 Aug 2020
On Attribution of Deepfakes
On Attribution of Deepfakes
Baiwu Zhang
Jin Peng Zhou
Ilia Shumailov
Nicolas Papernot
WIGM
24
11
0
20 Aug 2020
Accurate and Efficient Intracranial Hemorrhage Detection and Subtype
  Classification in 3D CT Scans with Convolutional and Long Short-Term Memory
  Neural Networks
Accurate and Efficient Intracranial Hemorrhage Detection and Subtype Classification in 3D CT Scans with Convolutional and Long Short-Term Memory Neural Networks
Mihail Burduja
Radu Tudor Ionescu
N. Verga
22
88
0
01 Aug 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
29
1
0
17 Jul 2020
Estimating Displaced Populations from Overhead
Estimating Displaced Populations from Overhead
Armin Hadzic
Gordon A. Christie
Jeffrey Freeman
Amber Dismer
Stevan Bullard
Ashley Greiner
Nathan Jacobs
R. Mukherjee
25
4
0
25 Jun 2020
BS-Net: learning COVID-19 pneumonia severity on a large Chest X-Ray
  dataset
BS-Net: learning COVID-19 pneumonia severity on a large Chest X-Ray dataset
A. Signoroni
Mattia Savardi
Sergio Benini
Nicola Adami
R. Leonardi
...
F. Vaccher
M. Ravanelli
A. Borghesi
R. Maroldi
D. Farina
13
37
0
08 Jun 2020
Video Face Manipulation Detection Through Ensemble of CNNs
Video Face Manipulation Detection Through Ensemble of CNNs
Nicolò Bonettini
E. D. Cannas
S. Mandelli
Luca Bondi
Paolo Bestagini
Stefano Tubaro
PICV
CVBM
AAML
10
216
0
16 Apr 2020
TorchIO: A Python library for efficient loading, preprocessing,
  augmentation and patch-based sampling of medical images in deep learning
TorchIO: A Python library for efficient loading, preprocessing, augmentation and patch-based sampling of medical images in deep learning
Fernando Pérez-García
Rachel Sparks
Sébastien Ourselin
MedIm
LM&MA
138
427
0
09 Mar 2020
How well do U-Net-based segmentation trained on adult cardiac magnetic
  resonance imaging data generalise to rare congenital heart diseases for
  surgical planning?
How well do U-Net-based segmentation trained on adult cardiac magnetic resonance imaging data generalise to rare congenital heart diseases for surgical planning?
Sven Koehler
A. Tandon
T. Hussain
H. Latus
T. Pickardt
S. Sarikouch
P. Beerbaum
G. Greil
Sandy Engelhardt
I. Wolf
18
6
0
10 Feb 2020
Camera-to-Robot Pose Estimation from a Single Image
Camera-to-Robot Pose Estimation from a Single Image
Timothy E. Lee
Jonathan Tremblay
Thang To
Jia Cheng
Terry Mosier
Oliver Kroemer
D. Fox
Stan Birchfield
33
93
0
21 Nov 2019
Vehicle-Rear: A New Dataset to Explore Feature Fusion for Vehicle
  Identification Using Convolutional Neural Networks
Vehicle-Rear: A New Dataset to Explore Feature Fusion for Vehicle Identification Using Convolutional Neural Networks
I. O. D. Oliveira
Rayson Laroca
David Menotti
K. Fonseca
Rodrigo Minetto
31
23
0
13 Nov 2019
Synthetic Data for Deep Learning
Synthetic Data for Deep Learning
Sergey I. Nikolenko
46
348
0
25 Sep 2019
Deep Convolutions for In-Depth Automated Rock Typing
Deep Convolutions for In-Depth Automated Rock Typing
E. E. Baraboshkin
L. Ismailova
D. Orlov
E. Zhukovskaya
G. Kalmykov
O. V. Khotylev
E. Baraboshkin
D. Koroteev
25
84
0
23 Sep 2019
DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better
DeblurGAN-v2: Deblurring (Orders-of-Magnitude) Faster and Better
Orest Kupyn
T. Martyniuk
Junru Wu
Zhangyang Wang
3DV
17
874
0
10 Aug 2019
AutoML: A Survey of the State-of-the-Art
AutoML: A Survey of the State-of-the-Art
Xin He
Kaiyong Zhao
X. Chu
20
1,419
0
02 Aug 2019
Physical Cue based Depth-Sensing by Color Coding with Deaberration
  Network
Physical Cue based Depth-Sensing by Color Coding with Deaberration Network
Nao Mishima
Tatsuo Kozakaya
Akihisa Moriya
R. Okada
S. Hiura
3DV
26
3
0
01 Aug 2019
Semi-Supervised Segmentation of Salt Bodies in Seismic Images using an
  Ensemble of Convolutional Neural Networks
Semi-Supervised Segmentation of Salt Bodies in Seismic Images using an Ensemble of Convolutional Neural Networks
Yauhen Babakhin
A. Sanakoyeu
Hirotoshi Kitamura
24
59
0
09 Apr 2019
U-NetPlus: A Modified Encoder-Decoder U-Net Architecture for Semantic
  and Instance Segmentation of Surgical Instrument
U-NetPlus: A Modified Encoder-Decoder U-Net Architecture for Semantic and Instance Segmentation of Surgical Instrument
S. Hasan
Cristian A. Linte
MedIm
22
92
0
24 Feb 2019
Angiodysplasia Detection and Localization Using Deep Convolutional
  Neural Networks
Angiodysplasia Detection and Localization Using Deep Convolutional Neural Networks
Alexey A. Shvets
V. Iglovikov
Alexander Rakhlin
Alexandr A Kalinin
MedIm
25
74
0
21 Apr 2018
A Survey on Deep Learning in Medical Image Analysis
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
295
10,618
0
19 Feb 2017
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