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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]
2015
arXiv
pre-print
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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
2015
2015 IEEE International Conference on Computer Vision (ICCV)
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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]
2017
arXiv
pre-print
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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]
2021
arXiv
pre-print
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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]
2021
arXiv
pre-print
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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
2015
IEEE transactions on magnetics
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2015 pre-print arXiv:1503.06664v1 fatcat:lhwakg3surfydg5zv2egbmuoga
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
2009
Journal of International Marketing
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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
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—-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
Preserved Fulltext
The Internet Archive has digitized a microfilm copy of this work. It may be possible to borrow a copy for reading.
—-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
2020
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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
2019
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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
2019
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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
2013
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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
2017
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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
2016
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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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