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Deep Learning for Plant Identification and Disease Classification from
  Leaf Images: Multi-prediction Approaches

Deep Learning for Plant Identification and Disease Classification from Leaf Images: Multi-prediction Approaches

25 October 2023
Jianping Yao
Son N. Tran
Saurabh Garg
Samantha Sawyer
ArXivPDFHTML

Papers citing "Deep Learning for Plant Identification and Disease Classification from Leaf Images: Multi-prediction Approaches"

18 / 18 papers shown
Title
Machine Learning for Leaf Disease Classification: Data, Techniques and
  Applications
Machine Learning for Leaf Disease Classification: Data, Techniques and Applications
Jianping Yao
Son N. Tran
Samantha Sawyer
Saurabh Garg
11
26
0
19 Oct 2023
Learning Discriminative Representations for Multi-Label Image
  Recognition
Learning Discriminative Representations for Multi-Label Image Recognition
Mohammed Hassanin
Ibrahim Radwan
Salman Khan
M. Tahtali
SSL
40
24
0
23 Jul 2021
Model-Contrastive Federated Learning
Model-Contrastive Federated Learning
Qinbin Li
Bingsheng He
D. Song
FedML
79
1,037
0
30 Mar 2021
An Image is Worth 16x16 Words: Transformers for Image Recognition at
  Scale
An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Alexey Dosovitskiy
Lucas Beyer
Alexander Kolesnikov
Dirk Weissenborn
Xiaohua Zhai
...
Matthias Minderer
G. Heigold
Sylvain Gelly
Jakob Uszkoreit
N. Houlsby
ViT
632
41,003
0
22 Oct 2020
PlantDoc: A Dataset for Visual Plant Disease Detection
PlantDoc: A Dataset for Visual Plant Disease Detection
D. Singh
Naman Jain
Pranjali Jain
Pratik Kayal
Sudhakar Kumawat
Nipun Batra
46
411
0
23 Nov 2019
iCassava 2019 Fine-Grained Visual Categorization Challenge
iCassava 2019 Fine-Grained Visual Categorization Challenge
Ernest Mwebaze
Timnit Gebru
Andrea Frome
Solomon Nsumba
Tusubira Francis Jeremy
31
56
0
08 Aug 2019
Neural-Symbolic Computing: An Effective Methodology for Principled
  Integration of Machine Learning and Reasoning
Neural-Symbolic Computing: An Effective Methodology for Principled Integration of Machine Learning and Reasoning
Artur Garcez
Marco Gori
Luís C. Lamb
Luciano Serafini
Michael Spranger
Son N. Tran
NAI
93
292
0
15 May 2019
End-to-End Multi-Task Learning with Attention
End-to-End Multi-Task Learning with Attention
Shikun Liu
Edward Johns
Andrew J. Davison
CVBM
53
1,052
0
28 Mar 2018
MobileNetV2: Inverted Residuals and Linear Bottlenecks
MobileNetV2: Inverted Residuals and Linear Bottlenecks
Mark Sandler
Andrew G. Howard
Menglong Zhu
A. Zhmoginov
Liang-Chieh Chen
178
19,271
0
13 Jan 2018
A Survey on Multi-Task Learning
A Survey on Multi-Task Learning
Yu Zhang
Qiang Yang
AIMat
600
2,228
0
25 Jul 2017
Attention Is All You Need
Attention Is All You Need
Ashish Vaswani
Noam M. Shazeer
Niki Parmar
Jakob Uszkoreit
Llion Jones
Aidan Gomez
Lukasz Kaiser
Illia Polosukhin
3DV
687
131,526
0
12 Jun 2017
CNN-RNN: A Unified Framework for Multi-label Image Classification
CNN-RNN: A Unified Framework for Multi-label Image Classification
Jiang Wang
Yi Yang
Junhua Mao
Zhiheng Huang
Chang Huang
Wenyuan Xu
SSL
90
1,163
0
15 Apr 2016
Cross-stitch Networks for Multi-task Learning
Cross-stitch Networks for Multi-task Learning
Ishan Misra
Abhinav Shrivastava
Abhinav Gupta
M. Hebert
87
1,347
0
12 Apr 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
Deep-Plant: Plant Identification with convolutional neural networks
Deep-Plant: Plant Identification with convolutional neural networks
Sue Han Lee
Chee Seng Chan
P. Wilkin
Paolo Remagnino
55
405
0
28 Jun 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg
3DV
1.8K
77,133
0
18 May 2015
Going Deeper with Convolutions
Going Deeper with Convolutions
Christian Szegedy
Wei Liu
Yangqing Jia
P. Sermanet
Scott E. Reed
Dragomir Anguelov
D. Erhan
Vincent Vanhoucke
Andrew Rabinovich
457
43,649
0
17 Sep 2014
A Leaf Recognition Algorithm for Plant Classification Using
  Probabilistic Neural Network
A Leaf Recognition Algorithm for Plant Classification Using Probabilistic Neural Network
Stephen Gang Wu
F. S. Bao
E. Xu
Yuxuan Wang
Yi-Fan Chang
Qiao-Liang Xiang
BDL
125
942
0
29 Jul 2007
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