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RICE: Refining Instance Masks in Cluttered Environments with Graph Neural Networks [article]

Christopher Xie, Arsalan Mousavian, Yu Xiang, Dieter Fox
2021 arXiv   pre-print
Thus, in this work, we propose a novel framework that refines the output of such methods by utilizing a graph-based representation of instance masks.  ...  Segmenting unseen object instances in cluttered environments is an important capability that robots need when functioning in unstructured environments.  ...  In this paper, we propose a novel method for Refining Instance masks in Cluttered Environments, named RICE.  ... 
arXiv:2106.15711v1 fatcat:5ty3udy3gbcadclxdjbgx5qvfe

Review of Weed Detection Methods Based on Computer Vision

Zhangnan Wu, Yajun Chen, Bo Zhao, Xiaobing Kang, Yuanyuan Ding
2021 Sensors  
With the continuous improvement in the agricultural production level, accurately distinguishing crops from weeds and achieving precise spraying only for weeds are important.  ...  The waste and pollution of farmland ecological environment caused by full-coverage chemical herbicide spraying are becoming increasingly evident.  ...  [36] Support vector machine with adaptive boosting Precision:95.85% Acknowledgments: The authors thank the editors and anonymous reviewers for providing helpful suggestions to improve the quality of  ... 
doi:10.3390/s21113647 pmid:34073867 fatcat:dyaxmopki5aqhji7u2dv465a44

Visual Affordance and Function Understanding: A Survey [article]

Mohammed Hassanin, Salman Khan, Murat Tahtali
2018 arXiv   pre-print
Robot vision aims to equip robots with the ability to discover information, understand it and interact with the environment.  ...  Furthermore, we cover functional scene understanding and the prevalent functional descriptors used in the literature.  ...  Following these studies [16] , [15] , Jain et al. merged spatial-temporal graph with a Recurrent Neural Network (RNN) to address problems in graphical models [17] .  ... 
arXiv:1807.06775v1 fatcat:kl7miygnizdinpovqnzfdhwokq

Table of contents

2021 ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)  
NEURAL NETWORKS ........................................POWER ALLOCATION USING GRAPH NEURAL NETWORKS ................................. 4725 AND DEEP ALGORITHM UNFOLDING Arindam Chowdhury, Rice University  ...  ; Alejandro Ribeiro, University of Pennsylvania, United States; Elvin Isufi, Delft University of Technology, United States SPTM-11.6: WIDE AND DEEP GRAPH NEURAL NETWORKS WITH DISTRIBUTED ..............  ... 
doi:10.1109/icassp39728.2021.9414617 fatcat:m5ugnnuk7nacbd6jr6gv2lsfby

2021 Index IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing Vol. 14

2021 IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing  
-that appeared in this periodical during 2021, and items from previous years that were commented upon or corrected in 2021.  ...  Note that the item title is found only under the primary entry in the Author Index.  ...  Zhang, G., +, JSTARS 2021 6766-6776 Graph neural networks Semi-Supervised Classification for PolSAR Data With Multi-Scale Evolv-ing Weighted Graph Convolutional Network.  ... 
doi:10.1109/jstars.2022.3143012 fatcat:dnetkulbyvdyne7zxlblmek2qy

A Review of Deep Learning in Multiscale Agricultural Sensing

Dashuai Wang, Wujing Cao, Fan Zhang, Zhuolin Li, Sheng Xu, Xinyu Wu
2022 Remote Sensing  
Specifically, the applications of convolutional neural network-based supervised learning (CNN-SL), transfer learning (TL), and few-shot learning (FSL) in crop sensing at land, field, canopy, and leaf scales  ...  To provide an update on these studies, we conducted a comprehensive investigation with a special emphasis on deep learning in multiscale agricultural remote and proximal sensing.  ...  Moreover, to improve weed and crop recognition accuracy with small amounts of labeled data in challenging field environments, Jiang, H. et al. (2020) constructed a semisupervised graph convolutional network  ... 
doi:10.3390/rs14030559 fatcat:fcgpljr2tfhpjd3nvmi3kgp3bq

Table of Contents

2020 IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium  
Electronic WITH GATED CONVOLUTIONAL NEURAL NETWORK STRUCTURE NETWORK WITH INTERPRETABLE OPTIMIZATION Jiadian Liang, Shunjun Wei, Mou Wang, Hao Su, Jun Shi, Xiaoling Zhang, University .........  ...  LEARNING RELATION BY GRAPH NEURAL NETWORK FOR SAR IMAGE ........................................ 1743 FEW-SHOT LEARNING Rui Yang, Xin Xu, Xirong Li, Lei Wang, Fangling Pu, Wuhan University, China TH1-R5.10  ...  FR1-R18: NETWORK BASED CLASSIFIER  ... 
doi:10.1109/igarss39084.2020.9323828 fatcat:6aittajt35gufeaugcmemu5cya

A Review of Environmental Context Detection for Navigation Based on Multiple Sensors

Florent Feriol, Damien Vivet, Yoko Watanabe
2020 Sensors  
quality (GNSS in urban canyons for instance or camera-based navigation in a non-textured environment).  ...  Current navigation systems use multi-sensor data to improve the localization accuracy, but often without certitude on the quality of those measurements in certain situations.  ...  in a cluttered environment.  ... 
doi:10.3390/s20164532 pmid:32823560 fatcat:zqewbmjyd5c55mycnj7qg3by6e

Engineering, Technology & Applied Science Research (ETASR), Vol. 12, No. 2, pp. 8228-8481

Various
2022 Zenodo  
The journal was first published in February 2011. ISSN: 1792-8036 and 2241-4487.  ...  Engineering, Technology & Applied Science Research (ETASR) is an international bimonthly wide scope, peer-reviewed open access journal for the publication of original articles concerned with diverse aspects  ...  in a neural network with an autoregressive feature.  ... 
doi:10.5281/zenodo.6509470 fatcat:nn7pi5ec35gzplz6ewln2lbbrm

Spatial Clustering with SOM and GeoSOM: Case Study of Lisbon's Metropolitan Area

Roberto Henriques, Fernando Bacao, Victor Lobo
2010 2010 Second International Conference on Advanced Geographic Information Systems, Applications, and Services  
For instance in a three-dimensional SOM, using x equal to 10, y equal to 10 and z equal to 20 produces a network with 2000 units.  ...  Phoneme Recognition with Hierarchical Self Organised Neural Networks and Fuzzy Systems - A Case Study. Proc. ICANN'94, Int. Conf. on Artificial Neural Networks, Springer.  ... 
doi:10.1109/geoprocessing.2010.30 fatcat:d6es6triyjgarp3smlmbibvsra

A systematic review and realist synthesis on toilet paper hoarding: COVID or not COVID, that is the question

Javier Labad, Alexandre González-Rodríguez, Jesus Cobo, Joaquim Puntí, Josep Maria Farré
2021 PeerJ  
Conclusions The COVID-19 pandemic has been associated with a worldwide increase in toilet paper hoarding.  ...  Cultural differences were also identified, with relatively substantial effects of toilet paper hoarding in several Asian regions (Australia, Japan, Taiwan and Singapore).  ...  ACKNOWLEDGEMENTS This review is a proposal of the Catalan Toilet Tissue Research Group in Mental Health (CATOTIM), which is composed of psychiatrists and clinical psychologists interested in the study  ... 
doi:10.7717/peerj.10771 pmid:33575133 pmcid:PMC7849510 fatcat:e6htkvkev5crrejrxb7ewwd5fu

Scattering by two spheres: Theory and experiment

Irina Bjo/rno/, Leif Bjo/rno/
1998 Journal of the Acoustical Society of America  
Unlike the indoor environment, application of ultrasonic ranging outdoors involves a much more cluttered environment.  ...  Binaural and Spatial Hearing in Real and Virtual Environments, edited by Gilkey and Anderson ͑Erlbaum, Hillsdale, NJ, 1996͒, pp. 557-570͔ used neural networks to describe auditory localization and found  ...  by the activity of neurons at the corresponding place in the neural array.  ... 
doi:10.1121/1.421626 fatcat:qf2u35fztjfgtgredwhbg53zwm

Ray tracing in a turbulent, shallow‐water channel

Christian Bjerrum‐Niese, René Lützen, Leif Bjo/rno/
1998 Journal of the Acoustical Society of America  
Unlike the indoor environment, application of ultrasonic ranging outdoors involves a much more cluttered environment.  ...  Binaural and Spatial Hearing in Real and Virtual Environments, edited by Gilkey and Anderson ͑Erlbaum, Hillsdale, NJ, 1996͒, pp. 557-570͔ used neural networks to describe auditory localization and found  ...  by the activity of neurons at the corresponding place in the neural array.  ... 
doi:10.1121/1.422455 fatcat:vqypn7trzberzap3bkznkoddcu

Chasing the AIDS virus

Thomas Lengauer, André Altmann, Alexander Thielen, Rolf Kaiser
2010 Communications of the ACM  
ACM Media Advertising Policy Communications of the ACM and other ACM Media publications accept advertising in both print and electronic formats.  ...  All advertising in ACM Media publications is at the discretion of ACM and is intended to provide financial support for the various activities and services for ACM members.  ...  The authors find that, surprisingly, their filter-based gist is rather good at predicting the number of instances of a given object category that might be present in the scene, as well as their likely  ... 
doi:10.1145/1666420.1666440 fatcat:o2qllqh4tzhh5dzgvnjewl52vq

An overview of MATISSE-v2.0

Luc Labarre, Karine Caillault, Sandrine Fauqueux, Claire Malherbe, Antoine Roblin, Bernard Rosier, Pierre Simoneau, Karin Stein, John D. Gonglewski
2010 Optics in Atmospheric Propagation and Adaptive Systems XIII  
Co-Sponsoring Organisations Delivered with the support of Scottish Enterprise Cooperating Organisations 3A  ...  We analyze the strength of the background subtracted correlations by applying EPR criterion, finding a strong violation that is in good agreement with the theoretical predictions.  ...  SLN were prepared with cetyl palmitate and glyceryl stearate as solid lipids and for NLC, a mixture of the same solid lipids and grape seed oil has been used.  ... 
doi:10.1117/12.868183 fatcat:5anlqspzzzcftfufaxvlr45zve
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