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Transferring Object-Scene Convolutional Neural Networks for Event Recognition in Still Images
[article]
2016
arXiv
pre-print
Event recognition in still images is an intriguing problem and has potential for real applications. This paper addresses the problem of event recognition by proposing a convolutional neural network that exploits knowledge of objects and scenes for event classification (OS2E-CNN). Intuitively, it stands to reason that there exists a correlation among the concepts of objects, scenes, and events. We empirically demonstrate that the recognition of objects and scenes substantially contributes to the
arXiv:1609.00162v1
fatcat:tn332joywfb7lmi52yb7ywrep4