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Divide and Count: Generic Object Counting by Image Divisions

Tobias Stahl, Silvia L Pintea, Jan C van Gemert
2018 IEEE Transactions on Image Processing  
The method incorporates a counting layer which predicts object counts in the complete image, by enforcing consistency in counts when dealing with overlapping image regions.  ...  We propose a general object counting method that does not use any prior category information.  ...  Thus, we use only global image-level counts and still rely on local information. III. GENERIC COUNTING BY IMAGE DIVISION In Figure 3 we show our proposed approach.  ... 
doi:10.1109/tip.2018.2875353 pmid:30307867 fatcat:5y2yk4dhhbh2pbdjl7iv6pmlai

From Open Set to Closed Set: Supervised Spatial Divide-and-Conquer for Object Counting [article]

Haipeng Xiong, Hao Lu, Chengxin Liu, Liang Liu, Chunhua Shen, Zhiguo Cao
2020 arXiv   pre-print
Visual counting, a task that aims to estimate the number of objects from an image/video, is an open-set problem by nature, i.e., the number of population can vary in [0, inf) in theory.  ...  This idea is implemented by a novel Supervised Spatial Divide-and-Conquer Network (SS-DCNet). Thus, SS-DCNet can only learn from a closed set but generalize well to open-set scenarios via S-DC.  ...  Assume an image I ∈ R H×W ×K with a count value C * > C max , C * ∈ S O , is divided by the operator, and r × r is the minimum sub-region size with C max objects, then the required division times N for  ... 
arXiv:2001.01886v2 fatcat:wskpcl2wdjdh7bmlge45ymoalm

From Open Set to Closed Set: Counting Objects by Spatial Divide-and-Conquer [article]

Haipeng Xiong, Hao Lu, Chengxin Liu, Liang Liu, Zhiguo Cao, Chunhua Shen
2019 arXiv   pre-print
Visual counting, a task that predicts the number of objects from an image/video, is an open-set problem by nature, i.e., the number of population can vary in [0,+∞) in theory.  ...  Inspired by this idea, we propose a simple but effective approach, Spatial Divide-and- Conquer Network (S-DCNet).  ...  A shared classifier and a division decider receive divided feature maps, and respectively, generate division counts Cis and division masks Wis, for i = 1, 2, ...  ... 
arXiv:1908.06473v1 fatcat:nlq7e7m3cjcqjnwfk67jjlbiim

Segmenting and Tracking Multiple Dividing Targets Using ilastik [chapter]

Carsten Haubold, Martin Schiegg, Anna Kreshuk, Stuart Berg, Ullrich Koethe, Fred A. Hamprecht
2016 Advances in Anatomy, Embryology and Cell Biology  
This robust tracking-by-assignment algorithm explicitly makes allowance for false positive detections, undersegmentation and cell division.  ...  divide.  ...  Partial financial support by the HGS MathComp Graduate School, the SFB 1129 for integrative analysis of pathogen replication and spread, the RTG 1653 for probabilistic graphical models, and the CellNetworks  ... 
doi:10.1007/978-3-319-28549-8_8 pmid:27207368 fatcat:tfxc64ji2nf2nnwlw4toju4xfm

Asymmetric production of surface-dividing and non-surface-dividing cortical progenitor cells

T. Miyata
2004 Development  
Lee and Masato Nakafuku for plasmids and antibodies; Mitsuhiro Hashimoto for instruction on adenovirus work; Kazuhiro Ikenaka for retrovirus packaging cells and instruction; Syu-ichi Hirai, Fumio Matsuzaki  ...  , Hideyuki Okano, Noriko Osumi, Shin-ichi Nakagawa and Takashi Takeuchi for helpful discussions.  ...  Panels A′ and A′ show merged views of confocal images taken using a 40× (A′) or 100× (A′′) objective lens.  ... 
doi:10.1242/dev.01173 pmid:15175243 fatcat:slh47liy7fbrrorj5yequqarii

Cross-Region Building Counting in Satellite Imagery using Counting Consistency [article]

Muaaz Zakria, Hamza Rawal, Waqas Sultani, Mohsen Ali
2021 arXiv   pre-print
We then exploit counting consistency constraints, within-image count consistency, and across-image count consistency, to decrease the domain shift.  ...  Within-image consistency enforces that building count in the whole image should be greater than or equal to count in any of its sub-image.  ...  Object Counting: Counting objects of interest through computer vision has been done in several application areas which include counting people, animals, fruits, and buildings, etc.  ... 
arXiv:2110.13558v1 fatcat:peeqncmplngdhmgtvxwugypg7m

Divide and Grow: Capturing Huge Diversity in Crowd Images with Incrementally Growing CNN [article]

Deepak Babu Sam, Neeraj N Sajjan, R. Venkatesh Babu
2018 arXiv   pre-print
A differential training procedure divides the dataset into two clusters and fine-tunes the child networks on their respective specialties.  ...  The proposed model achieves higher count accuracy on major crowd datasets. Further, we analyse the characteristics of specialties mined automatically by our method.  ...  Acknowledgements This work is supported by SERB, Department of Science and Technology (DST), Government of India (Proj No. SB/S3/EECE/0127/2015).  ... 
arXiv:1807.09993v1 fatcat:ezyo3p2ekbbplkrjk7cxvstd2a

CUISENAIRE LEARNING MEDIA FOR ADDING, SUBTRACTING, MULTIPLYING, AND DIVIDING INTEGERS

Ratni Purwasih, Indah Puspita Sari, Ratna Sariningsih
2021 MaPan: Jurnal Matematika dan Pembelajaran  
In addition, it can be used as reference material for research on learning addition, subtraction, multiplication, and division of integers by utilizing different learning media.  ...  This study aims to describe the manufacture and use of Cuisenaire rod learning media for understanding the concepts of addition, subtraction, multiplication, and division of integers for elementary school  ...  Division can be interpreted as repeated subtraction so that the number divided by the divisor becomes zero. Take a Cuisenaire stem that is orange color (10 units).  ... 
doi:10.24252/mapan.2021v9n1a11 fatcat:pqqib6jop5bvbltoq2gcjisdpm

Situated Counting

Peter Gärdenfors, Paula Quinon
2020 Review of Philosophy and Psychology  
Moreover, we suggest that some of these steps may be facilitated by the external organization of the counting situation.  ...  Using the methods of situated cognition, we analyze how the balance between external and internal representations will imply different loads on the working memory and attention of the counting individual  ...  Illustrations by Paula Quinon.  ... 
doi:10.1007/s13164-020-00508-3 fatcat:a3mhrwrsmneenirwxafbppqsmi

Divide and Conquer

Eric A. Posner, Kathryn E. Spier, Adrian Vermeule
2010 Journal of Legal Analysis  
The key idea is that the unitary actor can create and exploit divisions between the game's players, making them collectively worse off.  ...  Similarly, a unitary defendant may prevent the formation of a plaintiff class by selectively setting key claims out of court.  ...  We also contrast divide and conquer with a mirror-image tactic -"combine and conquer" -and identify the welfare implications of this tactic as well.  ... 
doi:10.1093/jla/2.2.417 fatcat:cqt4c4saevh6zcnekvazthan7q

Divide and Conquer [chapter]

Shashi Shekhar, Hui Xiong
2008 Encyclopedia of GIS  
We suggest that the maxim is a placeholder for a complex of ideas related by a family resemblance, but differing in their details, mechanisms and implications.  ...  The maxim "divide and conquer" (divide et impera) is invoked frequently in law, history, and politics, but often in a loose or undertheorized way.  ...  In other cases, imperialist divide and conquer tactics involved fomenting divisions among subjugated groups by sowing mutual mistrust, rather than by selective bribery.  ... 
doi:10.1007/978-0-387-35973-1_321 fatcat:56pcl57bnbbfldxecstsyer7gm

Divide and Grow: Capturing Huge Diversity in Crowd Images with Incrementally Growing CNN

Deepak Babu Sam, Neeraj N Sajjan, R. Venkatesh Babu, Mukundhan Srinivasan
2018 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition  
A differential training procedure divides the dataset into two clusters and fine-tunes the child networks on their respective specialties.  ...  The proposed model achieves higher count accuracy on major crowd datasets. Further, we analyse the characteristics of specialties mined automatically by our method.  ...  Acknowledgements This work is supported by SERB, Department of Science and Technology (DST), Government of India (Proj No. SB/S3/EECE/0127/2015).  ... 
doi:10.1109/cvpr.2018.00381 dblp:conf/cvpr/SamSBS18 fatcat:augxbjl5rvctngubunfbcr7xe4

Attention Scaling for Crowd Counting

Xiaoheng Jiang, Li Zhang, Mingliang Xu, Tianzhu Zhang, Pei Lv, Bing Zhou, Xin Yang, Yanwei Pang
2020 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)  
Convolutional Neural Network (CNN) based methods generally take crowd counting as a regression task by outputting crowd densities.  ...  ASNet first generates density maps and scaling factors and then multiplies them by attention masks to output separate attention-based density maps.  ...  Inspired by the great success that the convolutional neural networks have made in computer vision tasks like object detection [28, 3, 27] , image segmentation [4, 8] , and object tracking [48, 47] ,  ... 
doi:10.1109/cvpr42600.2020.00476 dblp:conf/cvpr/JiangZXZLZYP20 fatcat:wdyidxn6nveatniqqeu3tn5dgq

Imaging and physically probing kinetochores in live dividing cells [chapter]

Jonathan Kuhn, Sophie Dumont
2014 Methods in Cell Biology  
The kinetochore mediates chromosome segregation at cell division.  ...  Here, we discuss two approaches for imaging and physically probing kinetochores despite mitotic cell rounding and rapid kinetochore dynamics.  ...  discussions and critical reading of  ... 
doi:10.1016/b978-0-12-420138-5.00025-2 pmid:24974043 pmcid:PMC4441532 fatcat:6g227667ojh2ng3xb4b5h3ov4i

MobileNetV3 with CBAM for Bamboo Stick Counting

Liangquan Jia, Yawen Wang, Ying Zang, Quanfeng Li, Huanan Leng, Zhanchun Xiao, Wei Long, Linhua Jiang
2022 IEEE Access  
Traditional image detection algorithms have shortcomings such as poor model generalization and complex manual operation for small object detection.  ...  The dense bamboo stick image is divided into small pieces by an algorithm, and the small pieces are input into the model for detection.  ... 
doi:10.1109/access.2022.3175818 fatcat:m7wp5sz4x5brhnbov7qoqbl2xq
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