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TasselNet: Counting maize tassels in the wild via local counts
  regression network

TasselNet: Counting maize tassels in the wild via local counts regression network

7 July 2017
Hao Lu
Zhiguo Cao
Yang Xiao
Bohan Zhuang
Chunhua Shen
ArXivPDFHTML

Papers citing "TasselNet: Counting maize tassels in the wild via local counts regression network"

35 / 35 papers shown
Title
Exploring Contextual Attribute Density in Referring Expression Counting
Exploring Contextual Attribute Density in Referring Expression Counting
Zhicheng Wang
Zhiyu Pan
Zhan Peng
Jian Cheng
Liwen Xiao
Wei Jiang
Zhiguo Cao
42
0
0
16 Mar 2025
Depth-Assisted Network for Indiscernible Marine Object Counting with Adaptive Motion-Differentiated Feature Encoding
Chengzhi Ma
Kunqian Li
Shuaixin Liu
Han Mei
63
0
0
11 Mar 2025
Soybean pod and seed counting in both outdoor fields and indoor laboratories using unions of deep neural networks
Soybean pod and seed counting in both outdoor fields and indoor laboratories using unions of deep neural networks
Tianyou Jiang
Mingshun Shao
Tianyi Zhang
Xiaoyu Liu
Qun Yu
65
0
0
24 Feb 2025
A Survey on Class-Agnostic Counting: Advancements from Reference-Based to Open-World Text-Guided Approaches
A Survey on Class-Agnostic Counting: Advancements from Reference-Based to Open-World Text-Guided Approaches
Luca Ciampi
Ali Azmoudeh
Elif Ecem Akbaba
Erdi Sarıtaş
Ziya Ata Yazıcı
H. K. Ekenel
Giuseppe Amato
Fabrizio Falchi
102
0
0
31 Jan 2025
CountMamba: Exploring Multi-directional Selective State-Space Models for
  Plant Counting
CountMamba: Exploring Multi-directional Selective State-Space Models for Plant Counting
Hulingxiao He
Yaqi Zhang
Jinglin Xu
Yuxin Peng
Mamba
33
0
0
10 Oct 2024
Virtual Classification: Modulating Domain-Specific Knowledge for
  Multidomain Crowd Counting
Virtual Classification: Modulating Domain-Specific Knowledge for Multidomain Crowd Counting
Mingyue Guo
Binghui Chen
Zhaoyi Yan
Yaowei Wang
Qixiang Ye
35
1
0
06 Feb 2024
Regressor-Segmenter Mutual Prompt Learning for Crowd Counting
Regressor-Segmenter Mutual Prompt Learning for Crowd Counting
Mingyue Guo
Li Yuan
Zhaoyi Yan
Binghui Chen
Yaowei Wang
QiXiang Ye
38
4
0
04 Dec 2023
SoybeanNet: Transformer-Based Convolutional Neural Network for Soybean
  Pod Counting from Unmanned Aerial Vehicle (UAV) Images
SoybeanNet: Transformer-Based Convolutional Neural Network for Soybean Pod Counting from Unmanned Aerial Vehicle (UAV) Images
Jiajia Li
Raju Thada Magar
Dong Chen
Feng Lin
Dechun Wang
Xiang Yin
Weichao Zhuang
Zhao Li
36
11
0
16 Oct 2023
STEERER: Resolving Scale Variations for Counting and Localization via
  Selective Inheritance Learning
STEERER: Resolving Scale Variations for Counting and Localization via Selective Inheritance Learning
Tao Han
Lei Bai
Lin Liu
Wanli Ouyang
32
36
0
21 Aug 2023
Vision Transformer Off-the-Shelf: A Surprising Baseline for Few-Shot
  Class-Agnostic Counting
Vision Transformer Off-the-Shelf: A Surprising Baseline for Few-Shot Class-Agnostic Counting
Zhicheng Wang
Liwen Xiao
Zhiguo Cao
Hao Lu
25
10
0
08 May 2023
Inception-Based Crowd Counting -- Being Fast while Remaining Accurate
Inception-Based Crowd Counting -- Being Fast while Remaining Accurate
Yiming Ma
24
2
0
18 Oct 2022
Redesigning Multi-Scale Neural Network for Crowd Counting
Redesigning Multi-Scale Neural Network for Crowd Counting
Zhipeng Du
Miaojing Shi
Jiankang Deng
S. Zafeiriou
34
44
0
04 Aug 2022
Rethinking Spatial Invariance of Convolutional Networks for Object
  Counting
Rethinking Spatial Invariance of Convolutional Networks for Object Counting
Zhi-Qi Cheng
Qi Dai
Hong Li
JingKuan Song
Xiao-Jun Wu
Alexander G. Hauptmann
3DPC
42
95
0
10 Jun 2022
CrowdMLP: Weakly-Supervised Crowd Counting via Multi-Granularity MLP
CrowdMLP: Weakly-Supervised Crowd Counting via Multi-Granularity MLP
Mingjie Wang
Jun Zhou
Hao Cai
Minglun Gong
20
29
0
15 Mar 2022
FusionCount: Efficient Crowd Counting via Multiscale Feature Fusion
FusionCount: Efficient Crowd Counting via Multiscale Feature Fusion
Yiming Ma
Victor Sanchez
T. Guha
17
29
0
28 Feb 2022
Automatic Plant Cover Estimation with Convolutional Neural Networks
Automatic Plant Cover Estimation with Convolutional Neural Networks
Matthias Körschens
P. Bodesheim
Christine Romermann
S. F. Bucher
M. Migliavacca
Josephine Ulrich
Joachim Denzler
13
3
0
21 Jun 2021
Global Wheat Head Dataset 2021: more diversity to improve the
  benchmarking of wheat head localization methods
Global Wheat Head Dataset 2021: more diversity to improve the benchmarking of wheat head localization methods
Etienne David
Mario Serouart
Daniel Smith
S. Madec
K. Velumani
...
S. Chapman
B. Solan
F. Baret
Ian Stavness
Wei Guo
27
17
0
17 May 2021
High precision control and deep learning-based corn stand counting
  algorithms for agricultural robot
High precision control and deep learning-based corn stand counting algorithms for agricultural robot
Zhong-Zhong Zhang
E. Kayacan
B. Thompson
Girish Chowdhary
22
58
0
21 Mar 2021
WheatNet: A Lightweight Convolutional Neural Network for High-throughput
  Image-based Wheat Head Detection and Counting
WheatNet: A Lightweight Convolutional Neural Network for High-throughput Image-based Wheat Head Detection and Counting
S. Khaki
N. Safaei
Hieu H. Pham
Lizhi Wang
27
92
0
17 Mar 2021
Deep Multi-view Image Fusion for Soybean Yield Estimation in Breeding
  Applications Deep Multi-view Image Fusion for Soybean Yield Estimation in
  Breeding Applications
Deep Multi-view Image Fusion for Soybean Yield Estimation in Breeding Applications Deep Multi-view Image Fusion for Soybean Yield Estimation in Breeding Applications
Luis G. Riera
Matthew E. Carroll
Zhisheng Zhang
Johnathon Shook
Sambuddha Ghosal
...
Arti Singh
S. Bhattacharya
Baskar Ganapathysubramanian
Asheesh K. Singh
S. Sarkar
26
42
0
13 Nov 2020
High-Throughput Image-Based Plant Stand Count Estimation Using
  Convolutional Neural Networks
High-Throughput Image-Based Plant Stand Count Estimation Using Convolutional Neural Networks
S. Khaki
Hieu H. Pham
Ye Han
W. Kent
Lizhi Wang
34
17
0
23 Oct 2020
Unsupervised Domain Adaptation For Plant Organ Counting
Unsupervised Domain Adaptation For Plant Organ Counting
Tewodros Ayalew
Jordan R. Ubbens
Ian Stavness
21
26
0
02 Sep 2020
DeepCorn: A Semi-Supervised Deep Learning Method for High-Throughput
  Image-Based Corn Kernel Counting and Yield Estimation
DeepCorn: A Semi-Supervised Deep Learning Method for High-Throughput Image-Based Corn Kernel Counting and Yield Estimation
S. Khaki
Hieu H. Pham
Ye Han
Andy Kuhl
W. Kent
Lizhi Wang
19
60
0
20 Jul 2020
AutoCount: Unsupervised Segmentation and Counting of Organs in Field
  Images
AutoCount: Unsupervised Segmentation and Counting of Organs in Field Images
Jordan R. Ubbens
Tewodros Ayalew
S. Shirtliffe
A. Josuttes
C. Pozniak
Ian Stavness
13
12
0
17 Jul 2020
Weighing Counts: Sequential Crowd Counting by Reinforcement Learning
Weighing Counts: Sequential Crowd Counting by Reinforcement Learning
Liang Liu
Hao Lu
Hongwei Zou
Haipeng Xiong
Zhiguo Cao
Chunhua Shen
OffRL
27
70
0
16 Jul 2020
Learning to Count in the Crowd from Limited Labeled Data
Learning to Count in the Crowd from Limited Labeled Data
Vishwanath A. Sindagi
R. Yasarla
Deepak Sam Babu
R. Venkatesh Babu
Vishal M. Patel
29
65
0
07 Jul 2020
Adaptive Mixture Regression Network with Local Counting Map for Crowd
  Counting
Adaptive Mixture Regression Network with Local Counting Map for Crowd Counting
Xiyang Liu
Jie Yang
Wenrui Ding
24
112
0
12 May 2020
JHU-CROWD++: Large-Scale Crowd Counting Dataset and A Benchmark Method
JHU-CROWD++: Large-Scale Crowd Counting Dataset and A Benchmark Method
Vishwanath A. Sindagi
R. Yasarla
Vishal M. Patel
19
222
0
07 Apr 2020
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
22
154
0
28 Mar 2020
From Open Set to Closed Set: Supervised Spatial Divide-and-Conquer for
  Object Counting
From Open Set to Closed Set: Supervised Spatial Divide-and-Conquer for Object Counting
Haipeng Xiong
Hao Lu
Chengxin Liu
Liang Liu
Chunhua Shen
Z. Cao
14
13
0
07 Jan 2020
Pushing the Frontiers of Unconstrained Crowd Counting: New Dataset and
  Benchmark Method
Pushing the Frontiers of Unconstrained Crowd Counting: New Dataset and Benchmark Method
Vishwanath A. Sindagi
R. Yasarla
Vishal M. Patel
21
87
0
28 Oct 2019
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting
Multi-Level Bottom-Top and Top-Bottom Feature Fusion for Crowd Counting
Vishwanath A. Sindagi
Vishal M. Patel
30
176
0
28 Aug 2019
From Open Set to Closed Set: Counting Objects by Spatial
  Divide-and-Conquer
From Open Set to Closed Set: Counting Objects by Spatial Divide-and-Conquer
Haipeng Xiong
Hao Lu
Chengxin Liu
Liang Liu
Zhiguo Cao
Chunhua Shen
33
165
0
15 Aug 2019
Counting and Segmenting Sorghum Heads
Counting and Segmenting Sorghum Heads
Min Hwan Oh
Peder Olsen
Karthikeyan N. Ramamurthy
21
15
0
30 May 2019
MatConvNet - Convolutional Neural Networks for MATLAB
MatConvNet - Convolutional Neural Networks for MATLAB
Andrea Vedaldi
Karel Lenc
183
2,946
0
15 Dec 2014
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