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High-for-Low and Low-for-High: Efficient Boundary Detection from Deep Object Features and its Applications to High-Level Vision [article]

Gedas Bertasius, Jianbo Shi, Lorenzo Torresani
2015 arXiv   pre-print
Our method can be viewed as a "High-for-Low" approach where high-level object features inform the low-level boundary detection process.  ...  We can view this process as a "Low-for-High" scheme, where low-level boundaries aid high-level vision tasks.  ...  Acknowledgements We thank Mohammad Haris Baig for the suggestions and help with the software. This research was funded in part by NSF award CNS-1205521.  ... 
arXiv:1504.06201v3 fatcat:lmn5cf7edng6jl5ndu34cklaxu

High-for-Low and Low-for-High: Efficient Boundary Detection from Deep Object Features and Its Applications to High-Level Vision

Gedas Bertasius, Jianbo Shi, Lorenzo Torresani
2015 2015 IEEE International Conference on Computer Vision (ICCV)  
Our method can be viewed as a High-for-Low approach where high-level object features inform the low-level boundary detection process.  ...  We can view this process as a Low-for-High scheme, where lowlevel boundaries aid high-level vision tasks.  ...  Acknowledgements We thank Mohammad Haris Baig for the suggestions and help with the software. This research was funded in part by NSF award CNS-1205521.  ... 
doi:10.1109/iccv.2015.65 dblp:conf/iccv/BertasiusST15 fatcat:5xzarjchgjddbkojq3wulgm5h4

Recent Advances in the Applications of Convolutional Neural Networks to Medical Image Contour Detection [article]

Zizhao Zhang and Fuyong Xing and Hai Su and Xiaoshuang Shi and Lin Yang
2017 arXiv   pre-print
Segmenting various objects from radiology images or pathology images requires accurate detection of contours.  ...  However, some problems, such as discontinuity and shape constraints, are insufficiently studied in CNNs. It is necessary to clarify the challenges to encourage further exploration.  ...  High-for-low and low-for-high: Efficient boundary detection from deep object features and its applications to high-level vision.  ... 
arXiv:1708.07281v1 fatcat:kdplgrjf4zaurcdbszcoeinktm

PDFNet: Pointwise Dense Flow Network for Urban-Scene Segmentation [article]

Venkata Satya Sai Ajay Daliparthi
2021 arXiv   pre-print
In recent years, using a deep convolutional neural network (CNN) as a feature encoder (or backbone) is the most commonly observed architectural pattern in several computer vision methods, and semantic  ...  The two major drawbacks of this architectural pattern are: (i) the networks often fail to capture small classes such as wall, fence, pole, traffic light, traffic sign, and bicycle, which are crucial for  ...  from our glance module.  ... 
arXiv:2109.10083v1 fatcat:4zzppv7iuzelxiqu2i6h5fdiey

Deep ROC Analysis and AUC as Balanced Average Accuracy to Improve Model Selection, Understanding and Interpretation [article]

André M. Carrington, Douglas G. Manuel, Paul W. Fieguth, Tim Ramsay, Venet Osmani, Bernhard Wernly, Carol Bennett, Steven Hawken, Matthew McInnes, Olivia Magwood, Yusuf Sheikh, Andreas Holzinger
2021 arXiv   pre-print
Optimal performance is critical for decision-making tasks from medicine to autonomous driving, however common performance measures may be too general or too specific.  ...  We demonstrate deep ROC analysis in two case studies and provide a toolkit in Python.  ...  ACKNOWLEDGEMENTS Parts of this work has received funding by the Austrian Science Fund (FWF), Project: P-32554 "A reference model for explainable Artificial Intelligence in the medical domain".  ... 
arXiv:2103.11357v1 fatcat:dworz37zk5cjjbqlmi2ad64pwa

Bit-Patterned Magnetic Recording: Theory, Media Fabrication, and Recording Performance

Thomas R. Albrecht, Hitesh Arora, Vipin Ayanoor-Vitikkate, Jean-Marc Beaujour, Daniel Bedau, David Berman, Alexei L. Bogdanov, Yves-Andre Chapuis, Julia Cushen, Elizabeth E. Dobisz, Gregory Doerk, He Gao (+19 others)
2015 IEEE transactions on magnetics  
Extendibility of BPM to higher densities, and its eventual combination with energy assisted recording are explored.  ...  Fabrication of BPM is viewed as the greatest challenge for its commercialization.  ...  It is thus useful to understand the vision and requirements for how BPM would be used in HDDs.  ... 
doi:10.1109/tmag.2015.2397880 fatcat:ovoksg3av5fgfdnfkjw7qu6m2y

Subsidiary Use of Foreign Marketing Knowledge

Martin S Roth, Satish Jayachandran, Mourad Dakhli, Deborah A Colton
2009 Journal of International Marketing  
Finally, the HEURISTIC coefficient is not significant for high- standard stores, but it is negative and significant for low-standard ones.  ...  We obtained narrow support for Hg,, in which consumers with high CET levels abstained from blue jeans.  ... 
doi:10.1509/jimk.17.1.1 fatcat:jq3gyq4qv5e7nj6lz62kmdasby

CERAMIC ABSTRACTS

2008 Journal of The American Ceramic Society  
—-A theoretical analysis shows that the most efficient combustion is achieved under the following con ditions: (1) sharply classified coke of 40 to 60 mm. for a bed 15 m. deep and 60 to 80 mm. for deeper  ...  mechanism vision.  ... 
doi:10.1111/j.1151-2916.1957.tb12539_ca.x fatcat:dubvnbsqundapgytzx2zht7jga

CERAMIC ABSTRACTS

1957 Journal of The American Ceramic Society  
—-A theoretical analysis shows that the most efficient combustion is achieved under the following con ditions: (1) sharply classified coke of 40 to 60 mm. for a bed 15 m. deep and 60 to 80 mm. for deeper  ...  mechanism vision.  ... 
doi:10.1111/j.1151-2916.1957.tb12539.x fatcat:4uynw2rulnhjdlnud6i3al5vju

Estimation and Control of Autonomous Racing Drone

Swapneel Uday Naphade
2020
A non-linear model predictive control (NMPC) strategy is implemented for high-speed way-point navigation of the racing drone.  ...  We show that the proposed VIL system has a significantly lower memory usage than the state-of-the-art Monocular VIO systems which makes it suitable to run on resource constraint hardware.  ...  HSV image format makes it easier to detect illuminated objects like lights and LEDs in an image as the "Value" amount is very high for illuminated objects in the image.  ... 
doi:10.13016/gmyy-v2hl fatcat:jdkz37vd2respbmkesvzbtdpla

Learning for and with Efficient Computing Systems

Zhuo Chen
2019
Machine learning approaches have been widely adopted in recent years due to their capability of learning from data rather than hand-tuning features manually.  ...  Learning approaches have drawn significant attention recently due to the ability to adapt to the ever-increasing complexity of the system and applications.  ...  linear boundary on the high-level features.  ... 
doi:10.1184/r1/7798226.v1 fatcat:qk26gsppkffppdt6djvjr2hny4

Representation and recognition methods on parallel and unconventional machines

Attila Stubendek, Péter Szolgay, Kristóf Karacs
2019
To resolve the contradiction that the distance of the candidate sample should be low (for high confidence) and high (to gain significant coverage) at the same time, we rely on temporal information.  ...  Artificial vision or computer vision is employed in a number of applications that make the daily life easier for millions.  ... 
doi:10.15774/ppke.itk.2019.005 fatcat:xdtirlctefhvvnzousvje5wmpi

Automated Analysis of Biomedical Data from Low to High Resolution

Anna Kreshuk
2013
Two different spectrum segmentation algorithms are proposed: one based on image processing and applicable to low resolution data and one exploiting the sparsity of high resolution data.  ...  While this new data brings much deeper insight into cellular processes, it renders manual analysis infeasible and calls for the development of new, automated analysis procedures.  ...  No step of the pipeline is specific to the task of synapse detection, which makes it applicable to the general problem of small object detection in 3D image stacks by changing only the image features.  ... 
doi:10.11588/heidok.00014498 fatcat:rkmskx4nsbdbrmk4mewshvg4gq

Detektion und Verfolgung von Zügen in OTDR Signalen : ein robustes Framework zur Zuglokalisierung in Signalen von optischer Zeitbereichsreflektometrie mit GPGPU Beschleunigung

Adam Papp, Walter Kropatsch, Martin Litzenberger
2017
We show that using a General Purpose Graphical Processing Unit (GPGPU) it is possible to compute feature values relevant for train detection in real-time.  ...  Using optical time-domain reflectometry, vibrations in the ground caused by different sources can be detected with high accuracy in time and space.  ...  to write my thesis about this interesting topic and for the outstanding support during the last years.  ... 
doi:10.34726/hss.2016.37305 fatcat:kkq3p3kql5dklegdb2moazhlmi

Regression-based estimation of pain and facial expression intensity

Sebastian Kaltwang, Maja Pantic, European Commission
2016
the shape and appearance features.  ...  methods for intensity estimation of pain and AUs.  ...  Furthermore, I am grateful for the discussions and suggestions from my colleagues at the iBug group, especially Ognjen Rudovic, Stavros Petridis and Brais Martinez.  ... 
doi:10.25560/33227 fatcat:2t2tmfxbvfbtpmhxemaown4nmq
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