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Counting and Segmenting Sorghum Heads

Counting and Segmenting Sorghum Heads

30 May 2019
Min Hwan Oh
Peder Olsen
Karthikeyan N. Ramamurthy
ArXivPDFHTML

Papers citing "Counting and Segmenting Sorghum Heads"

22 / 22 papers shown
Title
Crowd Counting with Decomposed Uncertainty
Crowd Counting with Decomposed Uncertainty
Min Hwan Oh
Peder Olsen
Karthikeyan N. Ramamurthy
UQCV
36
108
0
15 Mar 2019
Embedded CNN based vehicle classification and counting in non-laned road
  traffic
Embedded CNN based vehicle classification and counting in non-laned road traffic
M. Chauhan
Arshdeep Singh
Mansi Khemka
Arneish Prateek
Rijurekha Sen
21
66
0
18 Jan 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
40
46
0
06 Dec 2018
Semi-convolutional Operators for Instance Segmentation
Semi-convolutional Operators for Instance Segmentation
David Novotny
Samuel Albanie
Diane Larlus
Andrea Vedaldi
ISeg
52
85
0
27 Jul 2018
Instance Segmentation by Deep Coloring
Instance Segmentation by Deep Coloring
V. Kulikov
V. Yurchenko
Victor Lempitsky
VLM
SSeg
ISeg
38
29
0
26 Jul 2018
Iterative Crowd Counting
Iterative Crowd Counting
Viresh Ranjan
Hieu M. Le
Minh Hoai
3DV
15
274
0
26 Jul 2018
A-CCNN: adaptive ccnn for density estimation and crowd counting
A-CCNN: adaptive ccnn for density estimation and crowd counting
Saeed Amirgholipour Kasmani
Xiangjian He
W. Jia
Dadong Wang
Michelle Zeibots
23
27
0
19 Apr 2018
MaskRNN: Instance Level Video Object Segmentation
MaskRNN: Instance Level Video Object Segmentation
Yuan-Ting Hu
Jia-Bin Huang
Alex Schwing
VOS
45
182
0
29 Mar 2018
Path Aggregation Network for Instance Segmentation
Path Aggregation Network for Instance Segmentation
Shu Liu
Lu Qi
Haifang Qin
Jianping Shi
Jiaya Jia
ISeg
SSeg
79
5,696
0
05 Mar 2018
Using Deep Learning for Segmentation and Counting within Microscopy Data
Using Deep Learning for Segmentation and Counting within Microscopy Data
Carlos X. Hernández
Mohammad M. Sultan
Vijay S. Pande
30
35
0
28 Feb 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
112
1,325
0
27 Feb 2018
Spherical CNNs
Spherical CNNs
Taco S. Cohen
Mario Geiger
Jonas Köhler
Max Welling
105
898
0
30 Jan 2018
DecideNet: Counting Varying Density Crowds Through Attention Guided
  Detection and Density Estimation
DecideNet: Counting Varying Density Crowds Through Attention Guided Detection and Density Estimation
Jiang-Dong Liu
Chenqiang Gao
Deyu Meng
Alexander G. Hauptmann
36
346
0
18 Dec 2017
Learning to Segment Every Thing
Learning to Segment Every Thing
Ronghang Hu
Piotr Dollár
Kaiming He
Trevor Darrell
Ross B. Girshick
ISeg
VLM
49
296
0
28 Nov 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
33
217
0
07 Jul 2017
A Survey of Recent Advances in CNN-based Single Image Crowd Counting and
  Density Estimation
A Survey of Recent Advances in CNN-based Single Image Crowd Counting and Density Estimation
Vishwanath A. Sindagi
Vishal M. Patel
44
540
0
05 Jul 2017
Mask R-CNN
Mask R-CNN
Kaiming He
Georgia Gkioxari
Piotr Dollár
Ross B. Girshick
ObjD
232
27,018
0
20 Mar 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
31
550
0
22 Aug 2016
Group Equivariant Convolutional Networks
Group Equivariant Convolutional Networks
Taco S. Cohen
Max Welling
BDL
104
1,917
0
24 Feb 2016
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal
  Networks
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks
Shaoqing Ren
Kaiming He
Ross B. Girshick
Jian Sun
AIMat
ObjD
352
61,900
0
04 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
939
76,547
0
18 May 2015
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAtt
MDE
711
99,991
0
04 Sep 2014
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