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Author |
Xavier Roca; Jordi Vitria; Maria Vanrell; Juan J. Villanueva |
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Title |
Visual behaviours for binocular navigation with autonomous systems. |
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Miscellaneous |
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1999 |
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Proceedings of the VIII Symposium Nacional de Reconocimiento de Formas y Analisis de Imagenes |
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OR;ISE;CIC;MV |
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BCNPCL @ bcnpcl @ RVV1999a |
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13 |
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Author |
Daniel Ponsa; Jordi Vitria |
![find record details (via OpenURL) openurl](img/xref.gif)
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Title |
Mobile monitoring system using an agent-oriented approach |
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1999 |
Publication ![sorted by Publication field, ascending order (up)](img/sort_asc.gif) |
Proceedings of the VIII Symposium Nacional de Reconocimiento de Formas y Analisis de Imagenes |
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ADAS;OR;MV |
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ADAS @ adas @ DaV1999 |
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21 |
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Author |
Antonio Lopez; W. Niessen; Joan Serrat; K. Nicolay; Bart M. Ter Haar Romeny; Juan J. Villanueva; M. Viergever |
![find record details (via OpenURL) openurl](img/xref.gif)
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Title |
New improvements in the multiscale analysis of trabecular bone patterns. |
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1999 |
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Proceedings of the VIII Symposium Nacional de Reconocimiento de Formas y Analisis de Imagenes (SNRFAI’99), pags. 497–504 |
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ADAS @ adas @ LNS1999 |
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17 |
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Author |
J.M. Sanchez; X. Binefa |
![find record details (via OpenURL) openurl](img/xref.gif)
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Title |
Automatic digital TV commercial recognition. |
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Miscellaneous |
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1999 |
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Proceedings of the VIII Symposium Nacional de Reconocimiento de Formas y Analisis de Imagenes, 1: 313–320 |
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Bilbao. |
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Admin @ si @ SaV1999 |
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181 |
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Author |
David Lloret; Derek L.G. Hill |
![find record details (via OpenURL) openurl](img/xref.gif)
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Title |
System for live fusion of 2-D ultrasound scans to pre-interventional MR volumes of a patient. |
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1999 |
Publication ![sorted by Publication field, ascending order (up)](img/sort_asc.gif) |
Proceedings of the VIII Symposium Nacional de Reconocimiento de Formas y Analisis de Imagenes, 2:23–24. |
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Admin @ si @ LlH1999 |
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183 |
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Author |
A. Pujol; Felipe Lumbreras; Javier Varona; Juan J. Villanueva |
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Title |
Template matching through invariant eigenspace projection. |
Type |
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1999 |
Publication ![sorted by Publication field, ascending order (up)](img/sort_asc.gif) |
Proceedings of the VIII Symposium Nacional de Reconocimiento de Formas y Analisis de Imagenes. |
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ADAS @ adas @ PLV1999 |
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6 |
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Author |
Josep Llados; Felipe Lumbreras; Javier Varona |
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Title |
A multidocument platform for automatic reading of identity cards. |
Type |
Miscellaneous |
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1999 |
Publication ![sorted by Publication field, ascending order (up)](img/sort_asc.gif) |
Proceedings of the VIII Symposium Nacional de Reconocimiento de Formas y Analisis de Imagenes. |
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ADAS;DAG |
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ADAS @ adas @ LLV1999 |
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7 |
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Author |
Javier Varona; A. Pujol; Juan J. Villanueva |
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Title |
Visual tracking in application domains. |
Type |
Miscellaneous |
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1999 |
Publication ![sorted by Publication field, ascending order (up)](img/sort_asc.gif) |
Proceedings of the VIII Symposium Nacional de Reconocimiento de Formas y Analisis de Imagenes. |
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ISE @ ise @ VPV1999 |
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10 |
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Author |
Antonio Lopez; Ricardo Toledo; Joan Serrat; Juan J. Villanueva |
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Title |
Extraction of vessel centerlines from 2D coronary angiographies |
Type |
Miscellaneous |
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Year |
1999 |
Publication ![sorted by Publication field, ascending order (up)](img/sort_asc.gif) |
Proceedings of the VIII Symposium Nacional de Reconocimiento de Formas y Analisis de Imagenes. pgs. 489–496, volume I |
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ADAS |
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ADAS @ adas @ LTS1999 |
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14 |
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Author |
Ernest Valveny; Enric Marti |
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Title |
Recognition of lineal symbols in hand-written drawings using deformable template matching |
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1999 |
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Proceedings of the VIII Symposium Nacional de Reconocimiento de Formas y Análisis de Imágenes |
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DAG;IAM; |
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IAM @ iam @ VAM1999 |
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1658 |
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Author |
Mohammed Al Rawi; Dimosthenis Karatzas |
![download PDF file pdf](img/file_PDF.gif)
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Title |
On the Labeling Correctness in Computer Vision Datasets |
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2018 |
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Proceedings of the Workshop on Interactive Adaptive Learning, co-located with European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases |
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Image datasets have heavily been used to build computer vision systems.
These datasets are either manually or automatically labeled, which is a
problem as both labeling methods are prone to errors. To investigate this problem, we use a majority voting ensemble that combines the results from several Convolutional Neural Networks (CNNs). Majority voting ensembles not only enhance the overall performance, but can also be used to estimate the confidence level of each sample. We also examined Softmax as another form to estimate posterior probability. We have designed various experiments with a range of different ensembles built from one or different, or temporal/snapshot CNNs, which have been trained multiple times stochastically. We analyzed CIFAR10, CIFAR100, EMNIST, and SVHN datasets and we found quite a few incorrect
labels, both in the training and testing sets. We also present detailed confidence analysis on these datasets and we found that the ensemble is better than the Softmax when used estimate the per-sample confidence. This work thus proposes an approach that can be used to scrutinize and verify the labeling of computer vision datasets, which can later be applied to weakly/semi-supervised learning. We propose a measure, based on the Odds-Ratio, to quantify how many of these incorrectly classified labels are actually incorrectly labeled and how many of these are confusing. The proposed methods are easily scalable to larger datasets, like ImageNet, LSUN and SUN, as each CNN instance is trained for 60 epochs; or even faster, by implementing a temporal (snapshot) ensemble. |
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ECML-PKDDW |
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DAG; 600.121; 600.129 |
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Admin @ si @ RaK2018 |
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3144 |
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Author |
Dimosthenis Karatzas;Ch. Lioutas |
![find record details (via OpenURL) openurl](img/xref.gif)
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Title |
Software Package Development for Electron Diffraction Image Analysis |
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1998 |
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Proceedings of the XIV Solid State Physics National Conference |
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Ioannina, Greece |
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DAG |
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IAM @ iam @ KaL1998 |
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2045 |
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Author |
Oriol Pujol; Misael Rosales; Petia Radeva; E Fernandez-Nofrerias |
![find record details (via OpenURL) openurl](img/xref.gif)
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Title |
Intravascular Ultrasound Images Vessel Characterization using AdaBoost |
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Miscellaneous |
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2003 |
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Proceedings on FIMH |
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Lyon, France |
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MILAB;HuPBA |
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BCNPCL @ bcnpcl @ PRR2003a |
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400 |
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Author |
Judit Martinez; Eva Costa; P. Herreros; Antonio Lopez; Juan J. Villanueva |
![goto web page (via DOI) doi](img/doi.gif)
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Title |
TV-Screen Quality Inspection by Artificial Vision |
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Conference Article |
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2003 |
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Proceedings SPIE 5132, Sixth International Conference on Quality Control by Artificial Vision (QCAV 2003) |
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A real-time vision system for TV screen quality inspection is introduced. The whole system consists of eight cameras and one processor per camera. It acquires and processes 112 images in 6 seconds. The defects to be inspected can be grouped into four main categories (bubble, line-out, line reduction and landing) although there exists a large variability among each particular type of defect. The complexity of the whole inspection process has been reduced by dividing images into smaller ones and grouping the defects into frequency and intensity relevant ones. Tools such as mathematical morphology, Fourier transform, profile analysis and classification have been used. The performance of the system has been successfully proved against human operators in normal production conditions. |
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Gatlinburg, (EEUU) |
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ADAS |
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ADAS @ adas @ MCH2003a |
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393 |
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Author |
Daniel Hernandez; Alejandro Chacon; Antonio Espinosa; David Vazquez; Juan Carlos Moure; Antonio Lopez |
![download PDF file pdf](img/file_PDF.gif)
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Title |
Stereo Matching using SGM on the GPU |
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Report |
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2016 |
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Programming and Tuning Massively Parallel Systems |
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CUDA; Stereo; Autonomous Vehicle |
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Dense, robust and real-time computation of depth information from stereo-camera systems is a computationally demanding requirement for robotics, advanced driver assistance systems (ADAS) and autonomous vehicles. Semi-Global Matching (SGM) is a widely used algorithm that propagates consistency constraints along several paths across the image. This work presents a real-time system producing reliable disparity estimation results on the new embedded energy efficient GPU devices. Our design runs on a Tegra X1 at 42 frames per second (fps) for an image size of 640x480, 128 disparity levels, and using 4 path directions for the SGM method. |
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PUMPS |
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ADAS; 600.085; 600.087; 600.076 |
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no |
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|
Call Number |
ADAS @ adas @ HCE2016b |
Serial |
2776 |
|
Permanent link to this record |