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Image Augmentation for Multitask Few-Shot Learning: Agricultural Domain
  Use-Case

Image Augmentation for Multitask Few-Shot Learning: Agricultural Domain Use-Case

24 February 2021
S. Nesteruk
Dmitrii G. Shadrin
M. Pukalchik
ArXiv (abs)PDFHTML

Papers citing "Image Augmentation for Multitask Few-Shot Learning: Agricultural Domain Use-Case"

16 / 16 papers shown
Title
Impact of base dataset design on few-shot image classification
Impact of base dataset design on few-shot image classification
Othman Sbai
Camille Couprie
Mathieu Aubry
VLM
68
22
0
17 Jul 2020
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution
  Generalization
The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization
Dan Hendrycks
Steven Basart
Norman Mu
Saurav Kadavath
Frank Wang
...
Samyak Parajuli
Mike Guo
Basel Alomair
Jacob Steinhardt
Justin Gilmer
OOD
363
1,757
0
29 Jun 2020
A survey of loss functions for semantic segmentation
A survey of loss functions for semantic segmentation
Shruti Jadon
SSeg
86
844
0
26 Jun 2020
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
105
534
0
26 Jun 2019
Suppressing Model Overfitting for Image Super-Resolution Networks
Suppressing Model Overfitting for Image Super-Resolution Networks
Ruicheng Feng
Jinjin Gu
Yu Qiao
Chao Dong
SupR
40
39
0
11 Jun 2019
Data Augmentation for Leaf Segmentation and Counting Tasks in Rosette
  Plants
Data Augmentation for Leaf Segmentation and Counting Tasks in Rosette Plants
Dmitry Kuznichov
Alon Zvirin
Yaron Honen
Ron Kimmel
41
89
0
20 Mar 2019
Albumentations: fast and flexible image augmentations
Albumentations: fast and flexible image augmentations
A. Buslaev
Alex Parinov
Eugene Khvedchenya
V. Iglovikov
Alexandr A Kalinin
160
1,988
0
18 Sep 2018
A Survey on Deep Transfer Learning
A Survey on Deep Transfer Learning
Chuanqi Tan
F. Sun
Tao Kong
Wenchang Zhang
Chao Yang
Chunfang Liu
78
2,593
0
06 Aug 2018
Deep Leaf Segmentation Using Synthetic Data
Deep Leaf Segmentation Using Synthetic Data
Daniel Ward
Peyman Moghadam
N. Hudson
57
108
0
28 Jul 2018
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
129
2,186
0
28 Nov 2017
ARIGAN: Synthetic Arabidopsis Plants using Generative Adversarial
  Network
ARIGAN: Synthetic Arabidopsis Plants using Generative Adversarial Network
M. Giuffrida
H. Scharr
Sotirios A. Tsaftaris
GAN
33
98
0
04 Sep 2017
Rethinking Atrous Convolution for Semantic Image Segmentation
Rethinking Atrous Convolution for Semantic Image Segmentation
Liang-Chieh Chen
George Papandreou
Florian Schroff
Hartwig Adam
SSeg
234
8,494
0
17 Jun 2017
Smart Augmentation - Learning an Optimal Data Augmentation Strategy
Smart Augmentation - Learning an Optimal Data Augmentation Strategy
Joseph Lemley
S. Bazrafkan
Peter Corcoran
82
376
0
24 Mar 2017
Improving the Robustness of Deep Neural Networks via Stability Training
Improving the Robustness of Deep Neural Networks via Stability Training
Stephan Zheng
Yang Song
Thomas Leung
Ian Goodfellow
OOD
58
639
0
15 Apr 2016
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
434
43,875
0
01 May 2014
Visualizing and Understanding Convolutional Networks
Visualizing and Understanding Convolutional Networks
Matthew D. Zeiler
Rob Fergus
FAttSSL
603
15,907
0
12 Nov 2013
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