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LeafGAN: An Effective Data Augmentation Method for Practical Plant
  Disease Diagnosis

LeafGAN: An Effective Data Augmentation Method for Practical Plant Disease Diagnosis

24 February 2020
Q. H. Cap
H. Uga
S. Kagiwada
Hitoshi Iyatomi
    MedIm
ArXivPDFHTML

Papers citing "LeafGAN: An Effective Data Augmentation Method for Practical Plant Disease Diagnosis"

18 / 18 papers shown
Title
AgRegNet: A Deep Regression Network for Flower and Fruit Density Estimation, Localization, and Counting in Orchards
AgRegNet: A Deep Regression Network for Flower and Fruit Density Estimation, Localization, and Counting in Orchards
Uddhav Bhattarai
Santosh Bhusal
Qin Zhang
Manoj Karkee
103
1
0
20 Jan 2025
RAFA-Net: Region Attention Network For Food Items And Agricultural
  Stress Recognition
RAFA-Net: Region Attention Network For Food Items And Agricultural Stress Recognition
Asish Bera
O. Krejcar
D. Bhattacharjee
52
6
0
16 Oct 2024
Investigation to answer three key questions concerning plant pest
  identification and development of a practical identification framework
Investigation to answer three key questions concerning plant pest identification and development of a practical identification framework
Ryosuke Wayama
Yuki Sasaki
S. Kagiwada
Nobusuke Iwasaki
Hitoshi Iyatomi
25
6
0
25 Jul 2024
Class-specific Data Augmentation for Plant Stress Classification
Class-specific Data Augmentation for Plant Stress Classification
Nasla Saleem
Aditya Balu
Talukder Zaki Jubery
Arti Singh
Asheesh Kumar Singh
Soumik Sarkar
Baskar Ganapathysubramanian
44
1
0
18 Jun 2024
PotatoGANs: Utilizing Generative Adversarial Networks, Instance
  Segmentation, and Explainable AI for Enhanced Potato Disease Identification
  and Classification
PotatoGANs: Utilizing Generative Adversarial Networks, Instance Segmentation, and Explainable AI for Enhanced Potato Disease Identification and Classification
Mohammad Shafiul Alam
Fatema Tuj Johora Faria
Mukaffi Bin Moin
Ahmed Al Wase
Md. Rabius Sani
Khan Md. Hasib
MedIm
20
2
0
12 May 2024
Distance Guided Generative Adversarial Network for Explainable Binary
  Classifications
Distance Guided Generative Adversarial Network for Explainable Binary Classifications
Xiangyu Xiong
Yue Sun
Xiaohong Liu
Wei Ke
C. Lam
...
Hui Xie
Tong Tong
Qinquan Gao
Haoming Chen
Tao Tan
GAN
15
0
0
29 Dec 2023
Leaf-Based Plant Disease Detection and Explainable AI
Leaf-Based Plant Disease Detection and Explainable AI
Saurav Sagar
Mohammed Javed
David Doermann
12
6
0
17 Dec 2023
Towards Robust Plant Disease Diagnosis with Hard-sample Re-mining
  Strategy
Towards Robust Plant Disease Diagnosis with Hard-sample Re-mining Strategy
Q. H. Cap
Atsushi Fukuda
S. Kagiwada
H. Uga
Nobusuke Iwasaki
Hitoshi Iyatomi
30
8
0
05 Sep 2023
Embrace Limited and Imperfect Training Datasets: Opportunities and
  Challenges in Plant Disease Recognition Using Deep Learning
Embrace Limited and Imperfect Training Datasets: Opportunities and Challenges in Plant Disease Recognition Using Deep Learning
Mingle Xu
H. Kim
Jucheng Yang
A. Fuentes
Yao Meng
Sook Yoon
Taehyun Kim
D. Park
20
18
0
19 May 2023
CWD30: A Comprehensive and Holistic Dataset for Crop Weed Recognition in
  Precision Agriculture
CWD30: A Comprehensive and Holistic Dataset for Crop Weed Recognition in Precision Agriculture
Talha Ilyas
D. M. S. Arsa
Khubaib Ahmad
Yongchae Jeong
Okjae Won
Jong Hoon Lee
H. Kim
10
3
0
17 May 2023
Inside Out: Transforming Images of Lab-Grown Plants for Machine Learning
  Applications in Agriculture
Inside Out: Transforming Images of Lab-Grown Plants for Machine Learning Applications in Agriculture
Alexander E. Krosney
Parsa Sotoodeh
Christopher J. Henry
Michael A. Beck
C. Bidinosti
21
3
0
05 Nov 2022
Progressive Self-Distillation for Ground-to-Aerial Perception Knowledge
  Transfer
Progressive Self-Distillation for Ground-to-Aerial Perception Knowledge Transfer
Junjie Hu
Chenyou Fan
Mete Ozay
Hua Feng
Yuan Gao
Tin Lun Lam
SSL
32
2
0
29 Aug 2022
Generative Adversarial Networks for Image Augmentation in Agriculture: A
  Systematic Review
Generative Adversarial Networks for Image Augmentation in Agriculture: A Systematic Review
E. Olaniyi
Dong Chen
Yuzhen Lu
Ya-Yu Huang
21
38
0
10 Apr 2022
Weakly Supervised Attention-based Models Using Activation Maps for
  Citrus Mite and Insect Pest Classification
Weakly Supervised Attention-based Models Using Activation Maps for Citrus Mite and Insect Pest Classification
Edson Bollis
H. Maia
Hélio Pedrini
Sandra Avila
29
18
0
02 Oct 2021
Computer Vision with Deep Learning for Plant Phenotyping in Agriculture:
  A Survey
Computer Vision with Deep Learning for Plant Phenotyping in Agriculture: A Survey
Akshay L Chandra
Sai Vikas Desai
W. Guo
V. Balasubramanian
24
49
0
18 Jun 2020
How useful is Active Learning for Image-based Plant Phenotyping?
How useful is Active Learning for Image-based Plant Phenotyping?
Koushik Nagasubramanian
Talukder Z. Jubery
Fateme Fotouhi Ardakani
S. Mirnezami
Asheesh K. Singh
Arti Singh
S. Sarkar
Baskar Ganapathysubramanian
VLM
26
16
0
07 Jun 2020
SSM-Net for Plants Disease Identification in Low Data Regime
SSM-Net for Plants Disease Identification in Low Data Regime
Shruti Jadon
23
21
0
27 May 2020
Semantic Understanding of Scenes through the ADE20K Dataset
Semantic Understanding of Scenes through the ADE20K Dataset
Bolei Zhou
Hang Zhao
Xavier Puig
Tete Xiao
Sanja Fidler
Adela Barriuso
Antonio Torralba
SSeg
253
1,828
0
18 Aug 2016
1