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DeepCorn: A Semi-Supervised Deep Learning Method for High-Throughput
  Image-Based Corn Kernel Counting and Yield Estimation
v1v2 (latest)

DeepCorn: A Semi-Supervised Deep Learning Method for High-Throughput Image-Based Corn Kernel Counting and Yield Estimation

20 July 2020
S. Khaki
Hieu H. Pham
Ye Han
Andy Kuhl
W. Kent
Lizhi Wang
ArXiv (abs)PDFHTML

Papers citing "DeepCorn: A Semi-Supervised Deep Learning Method for High-Throughput Image-Based Corn Kernel Counting and Yield Estimation"

31 / 31 papers shown
Title
ScaleNet: An Unsupervised Representation Learning Method for Limited
  Information
ScaleNet: An Unsupervised Representation Learning Method for Limited Information
Huili Huang
M. M. Roozbahani
SSL
93
804
0
03 Oct 2023
CNN-based Density Estimation and Crowd Counting: A Survey
CNN-based Density Estimation and Crowd Counting: A Survey
Guangshuai Gao
Junyu Gao
Qingjie Liu
Qi. Wang
Yunhong Wang
73
155
0
28 Mar 2020
Convolutional Neural Networks for Image-based Corn Kernel Detection and
  Counting
Convolutional Neural Networks for Image-based Corn Kernel Detection and Counting
S. Khaki
Hieu H. Pham
Ye Han
Andy Kuhl
W. Kent
Lizhi Wang
58
53
0
26 Mar 2020
Efficient Crowd Counting via Structured Knowledge Transfer
Efficient Crowd Counting via Structured Knowledge Transfer
Lingbo Liu
Jiaqi Chen
Hefeng Wu
Tianshui Chen
Guanbin Li
Liang Lin
54
65
0
23 Mar 2020
Counting dense objects in remote sensing images
Counting dense objects in remote sensing images
Guangshuai Gao
Qingjie Liu
Yunhong Wang
55
24
0
14 Feb 2020
A CNN-RNN Framework for Crop Yield Prediction
A CNN-RNN Framework for Crop Yield Prediction
S. Khaki
Lizhi Wang
S. Archontoulis
68
446
0
20 Nov 2019
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
2,387
0
11 Nov 2019
MTCNET: Multi-task Learning Paradigm for Crowd Count Estimation
MTCNET: Multi-task Learning Paradigm for Crowd Count Estimation
Abhay Kumar
Nishant Jain
Suraj Tripathi
Chirag Singh
K. Krishna
51
3
0
23 Aug 2019
SCAR: Spatial-/Channel-wise Attention Regression Networks for Crowd
  Counting
SCAR: Spatial-/Channel-wise Attention Regression Networks for Crowd Counting
Junyu Gao
Qi. Wang
Yuan. Yuan
58
195
0
10 Aug 2019
Classification of Crop Tolerance to Heat and Drought: A Deep
  Convolutional Neural Networks Approach
Classification of Crop Tolerance to Heat and Drought: A Deep Convolutional Neural Networks Approach
S. Khaki
Zahra Khalilzadeh
Lizhi Wang
80
32
0
02 Jun 2019
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks
Mingxing Tan
Quoc V. Le
3DVMedIm
139
18,134
0
28 May 2019
W-Net: Reinforced U-Net for Density Map Estimation
W-Net: Reinforced U-Net for Density Map Estimation
Varun Kannadi Valloli
K. Mehta
55
39
0
27 Mar 2019
Crop Yield Prediction Using Deep Neural Networks
Crop Yield Prediction Using Deep Neural Networks
S. Khaki
Lizhi Wang
51
549
0
07 Feb 2019
Adaptive Scenario Discovery for Crowd Counting
Adaptive Scenario Discovery for Crowd Counting
Xingjiao Wu
Yingbin Zheng
Hao Ye
Wenxin Hu
J. Yang
Liang He
65
46
0
06 Dec 2018
Crowd Counting using Deep Recurrent Spatial-Aware Network
Crowd Counting using Deep Recurrent Spatial-Aware Network
Lingbo Liu
Hongjun Wang
Guanbin Li
Wanli Ouyang
Liang Lin
HAI
53
190
0
02 Jul 2018
An Aggregated Multicolumn Dilated Convolution Network for
  Perspective-Free Counting
An Aggregated Multicolumn Dilated Convolution Network for Perspective-Free Counting
Diptodip Deb
Jonathan Ventura
57
84
0
20 Apr 2018
CSRNet: Dilated Convolutional Neural Networks for Understanding the
  Highly Congested Scenes
CSRNet: Dilated Convolutional Neural Networks for Understanding the Highly Congested Scenes
Yuhong Li
Xiaofan Zhang
Deming Chen
140
1,338
0
27 Feb 2018
Crowd counting via scale-adaptive convolutional neural network
Crowd counting via scale-adaptive convolutional neural network
Lu Zhang
Miaojing Shi
Qiaobo Chen
36
242
0
13 Nov 2017
Switching Convolutional Neural Network for Crowd Counting
Switching Convolutional Neural Network for Crowd Counting
Deepak Babu Sam
Shiv Surya
R. Venkatesh Babu
85
889
0
01 Aug 2017
TasselNet: Counting maize tassels in the wild via local counts
  regression network
TasselNet: Counting maize tassels in the wild via local counts regression network
Hao Lu
Zhiguo Cao
Yang Xiao
Bohan Zhuang
Chunhua Shen
57
220
0
07 Jul 2017
Multi-scale Convolutional Neural Networks for Crowd Counting
Multi-scale Convolutional Neural Networks for Crowd Counting
Lingke Zeng
Xiangmin Xu
Bolun Cai
Suo Qiu
Tong Zhang
41
201
0
08 Feb 2017
CrowdNet: A Deep Convolutional Network for Dense Crowd Counting
CrowdNet: A Deep Convolutional Network for Dense Crowd Counting
Lokesh Boominathan
S. Kruthiventi
R. Venkatesh Babu
55
550
0
22 Aug 2016
TensorFlow: A system for large-scale machine learning
TensorFlow: A system for large-scale machine learning
Martín Abadi
P. Barham
Jianmin Chen
Zhiwen Chen
Andy Davis
...
Vijay Vasudevan
Pete Warden
Martin Wicke
Yuan Yu
Xiaoqiang Zhang
GNNAI4CE
433
18,361
0
27 May 2016
Using Deep Learning for Image-Based Plant Disease Detection
Using Deep Learning for Image-Based Plant Disease Detection
Sharada Mohanty
David P. Hughes
M. Salathé
41
3,119
0
11 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
194,020
0
10 Dec 2015
SSD: Single Shot MultiBox Detector
SSD: Single Shot MultiBox Detector
Wen Liu
Dragomir Anguelov
D. Erhan
Christian Szegedy
Scott E. Reed
Cheng-Yang Fu
Alexander C. Berg
ObjDBDL
238
29,830
0
08 Dec 2015
You Only Look Once: Unified, Real-Time Object Detection
You Only Look Once: Unified, Real-Time Object Detection
Joseph Redmon
S. Divvala
Ross B. Girshick
Ali Farhadi
ObjD
705
36,958
0
08 Jun 2015
Fast R-CNN
Fast R-CNN
Ross B. Girshick
ObjD
306
25,059
0
30 Apr 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.8K
150,115
0
22 Dec 2014
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
468
43,658
0
17 Sep 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAttMDE
1.6K
100,386
0
04 Sep 2014
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