schriftlich.bib 6.1 KB

123456789101112131415161718192021222324252627282930313233343536373839404142434445464748495051525354555657585960616263646566676869707172737475767778798081828384858687888990919293949596979899100101102103104105106107108109110111112113114115116117118119120121122123124125126127128129130131132133134135136137138139
  1. @incollection{fleet_microsoft_2014,
  2. address = {Cham},
  3. title = {Microsoft {COCO}: {Common} {Objects} in {Context}},
  4. volume = {8693},
  5. isbn = {978-3-319-10601-4 978-3-319-10602-1},
  6. shorttitle = {Microsoft {COCO}},
  7. url = {http://link.springer.com/10.1007/978-3-319-10602-1_48},
  8. urldate = {2018-01-18},
  9. booktitle = {Computer {Vision} – {ECCV} 2014},
  10. publisher = {Springer International Publishing},
  11. author = {Lin, Tsung-Yi and Maire, Michael and Belongie, Serge and Hays, James and Perona, Pietro and Ramanan, Deva and Dollár, Piotr and Zitnick, C. Lawrence},
  12. editor = {Fleet, David and Pajdla, Tomas and Schiele, Bernt and Tuytelaars, Tinne},
  13. year = {2014},
  14. note = {DOI: 10.1007/978-3-319-10602-1\_48},
  15. pages = {740--755}
  16. }
  17. @article{everingham_pascal_2010,
  18. title = {The {Pascal} {Visual} {Object} {Classes} ({VOC}) {Challenge}},
  19. volume = {88},
  20. issn = {0920-5691, 1573-1405},
  21. url = {http://link.springer.com/10.1007/s11263-009-0275-4},
  22. doi = {10.1007/s11263-009-0275-4},
  23. language = {en},
  24. number = {2},
  25. urldate = {2018-01-18},
  26. journal = {International Journal of Computer Vision},
  27. author = {Everingham, Mark and Van Gool, Luc and Williams, Christopher K. I. and Winn, John and Zisserman, Andrew},
  28. month = jun,
  29. year = {2010},
  30. pages = {303--338}
  31. }
  32. @inproceedings{jia_deng_imagenet:_2009,
  33. title = {{ImageNet}: {A} large-scale hierarchical image database},
  34. isbn = {978-1-4244-3992-8},
  35. shorttitle = {{ImageNet}},
  36. url = {http://ieeexplore.ieee.org/document/5206848/},
  37. doi = {10.1109/CVPR.2009.5206848},
  38. urldate = {2018-01-18},
  39. publisher = {IEEE},
  40. author = {{Jia Deng} and {Wei Dong} and Socher, R. and {Li-Jia Li} and {Kai Li} and {Li Fei-Fei}},
  41. month = jun,
  42. year = {2009},
  43. pages = {248--255}
  44. }
  45. @article{russell_labelme:_2008,
  46. title = {{LabelMe}: {A} {Database} and {Web}-{Based} {Tool} for {Image} {Annotation}},
  47. volume = {77},
  48. issn = {0920-5691, 1573-1405},
  49. shorttitle = {{LabelMe}},
  50. url = {http://link.springer.com/10.1007/s11263-007-0090-8},
  51. doi = {10.1007/s11263-007-0090-8},
  52. language = {en},
  53. number = {1-3},
  54. urldate = {2018-01-18},
  55. journal = {International Journal of Computer Vision},
  56. author = {Russell, Bryan C. and Torralba, Antonio and Murphy, Kevin P. and Freeman, William T.},
  57. month = may,
  58. year = {2008},
  59. pages = {157--173}
  60. }
  61. @article{sermanet_overfeat:_2013,
  62. title = {{OverFeat}: {Integrated} {Recognition}, {Localization} and {Detection} using {Convolutional} {Networks}},
  63. shorttitle = {{OverFeat}},
  64. url = {http://arxiv.org/abs/1312.6229},
  65. abstract = {We present an integrated framework for using Convolutional Networks for classification, localization and detection. We show how a multiscale and sliding window approach can be efficiently implemented within a ConvNet. We also introduce a novel deep learning approach to localization by learning to predict object boundaries. Bounding boxes are then accumulated rather than suppressed in order to increase detection confidence. We show that different tasks can be learned simultaneously using a single shared network. This integrated framework is the winner of the localization task of the ImageNet Large Scale Visual Recognition Challenge 2013 (ILSVRC2013) and obtained very competitive results for the detection and classifications tasks. In post-competition work, we establish a new state of the art for the detection task. Finally, we release a feature extractor from our best model called OverFeat.},
  66. urldate = {2018-01-19},
  67. journal = {arXiv:1312.6229 [cs]},
  68. author = {Sermanet, Pierre and Eigen, David and Zhang, Xiang and Mathieu, Michael and Fergus, Rob and LeCun, Yann},
  69. month = dec,
  70. year = {2013},
  71. note = {arXiv: 1312.6229},
  72. keywords = {Computer Science - Computer Vision and Pattern Recognition},
  73. file = {arXiv\:1312.6229 PDF:C\:\\Users\\kolja\\Zotero\\storage\\TLDA7V7U\\Sermanet et al. - 2013 - OverFeat Integrated Recognition, Localization and.pdf:application/pdf;arXiv.org Snapshot:C\:\\Users\\kolja\\Zotero\\storage\\BGIMQR4S\\1312.html:text/html}
  74. }
  75. @misc{pascal-voc-2007,
  76. author = "Everingham, M. and Van~Gool, L. and Williams, C. K. I. and Winn, J. and Zisserman, A.",
  77. title = "The {PASCAL} {V}isual {O}bject {C}lasses {C}hallenge 2007 {(VOC2007)} {R}esults",
  78. howpublished = "http://www.pascal-network.org/challenges/VOC/voc2007/workshop/index.html"
  79. }
  80. @misc{deacon2009model,
  81. title="Model-view-controller (mvc) architecture",
  82. author="Deacon, John",
  83. howpublished="http://www.jdl.co.uk/briefings/index.html"
  84. }
  85. @book{perry1996introduction,
  86. title={An introduction to object-oriented design in C++},
  87. author={Perry, Jo Ellen and Levin, Harold D},
  88. year={1996},
  89. publisher={Addison-Wesley}
  90. }
  91. @incollection{NIPS2012_4824,
  92. title = {ImageNet Classification with Deep Convolutional Neural Networks},
  93. author = {Alex Krizhevsky and Sutskever, Ilya and Hinton, Geoffrey E},
  94. booktitle = {Advances in Neural Information Processing Systems 25},
  95. editor = {F. Pereira and C. J. C. Burges and L. Bottou and K. Q. Weinberger},
  96. pages = {1097--1105},
  97. year = {2012},
  98. publisher = {Curran Associates, Inc.},
  99. url = {http://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks.pdf}
  100. }
  101. @article{Dworak:1391410,
  102. author = "Dworak, A and Charrue, P and Ehm, F and Sliwinski, W and
  103. Sobczak, M",
  104. title = "{Middleware Trends And Market Leaders 2011}",
  105. journal = "Conf. Proc.",
  106. number = "CERN-ATS-2011-196",
  107. volume = "C111010",
  108. pages = "FRBHMULT05. 4 p",
  109. month = "Oct",
  110. year = "2011",
  111. reportNumber = "CERN-ATS-2011-196",
  112. url = "http://cds.cern.ch/record/1391410",
  113. }
  114. @inproceedings{culjak2012brief,
  115. title={A brief introduction to OpenCV},
  116. author={Culjak, Ivan and Abram, David and Pribanic, Tomislav and Dzapo, Hrvoje and Cifrek, Mario},
  117. booktitle={MIPRO, 2012 proceedings of the 35th international convention},
  118. pages={1725--1730},
  119. year={2012},
  120. organization={IEEE}
  121. }
  122. @book{gamma2011entwurfsmuster,
  123. title={Entwurfsmuster: Elemente wiederverwendbarer objektorientierter Software},
  124. author={Gamma, Erich and Johnson, Ralph and Helm, Richard and Vlissides, John},
  125. year={2011},
  126. publisher={Pearson Deutschland GmbH}
  127. }