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Semi-Supervised Noisy Student Pre-training on EfficientNet Architectures
  for Plant Pathology Classification

Semi-Supervised Noisy Student Pre-training on EfficientNet Architectures for Plant Pathology Classification

1 December 2020
Sedrick Scott Keh
ArXivPDFHTML

Papers citing "Semi-Supervised Noisy Student Pre-training on EfficientNet Architectures for Plant Pathology Classification"

11 / 11 papers shown
Title
The Plant Pathology 2020 challenge dataset to classify foliar disease of
  apples
The Plant Pathology 2020 challenge dataset to classify foliar disease of apples
Ranjita Thapa
Noah Snavely
Serge J. Belongie
Awais Khan Plant Pathology
33
62
0
24 Apr 2020
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
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Mingxing Tan
Quoc V. Le
3DV
MedIm
137
18,115
0
28 May 2019
Fault Area Detection in Leaf Diseases using k-means Clustering
Fault Area Detection in Leaf Diseases using k-means Clustering
Subhajit Maity
Sujan Sarkar
Avinaba Tapadar
Ayan Dutta
Sanket Biswas
S. Nayek
Pritam Saha
26
14
0
24 Oct 2018
Squeeze-and-Excitation Networks
Squeeze-and-Excitation Networks
Jie Hu
Li Shen
Samuel Albanie
Gang Sun
Enhua Wu
424
26,481
0
05 Sep 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
2,397
0
10 Jul 2017
Densely Connected Convolutional Networks
Densely Connected Convolutional Networks
Gao Huang
Zhuang Liu
Laurens van der Maaten
Kilian Q. Weinberger
PINN
3DV
766
36,794
0
25 Aug 2016
Deep Networks with Stochastic Depth
Deep Networks with Stochastic Depth
Gao Huang
Yu Sun
Zhuang Liu
Daniel Sedra
Kilian Q. Weinberger
212
2,356
0
30 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
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.8K
150,039
0
22 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
1.6K
100,348
0
04 Sep 2014
1