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CNNs have massively improved performance in object detection in photographs.
Spatial pyramid pooling in deep convolutional networks for visual recognition
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The pyramid match kernel: Discriminative classification with sets of image features
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Beyond bags of features: Spatial pyramid matching for recognizing natural scene categories
Lazebnik, S., Schmid, C., Ponce, J.: · 2006
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Matching local self-similarities across images and videos
Shechtman, E., Irani, M.: · 2007
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The pascal visual object classes challenge 2007 (voc2007) development kit
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Structure is a visual class invariant
Xiao, B., Song, Y.Z., Balika, A., Hall, P.M.: · 2008
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Imagenet: A large-scale hierarchical image database
Deng, J., Dong, W., Socher, R., Li, L.J., Li, K., Fei-Fei, L.: · 2009
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Efficient retrieval of deformable shape classes using local self-similarities
Chatfield, K., Philbin, J., Zisserman, A.: · 2009
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Felzenszwalb, P.F., Girshick, R.B., McAllester, D., Ramanan, D.: · 2010
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The pascal visual object classes (voc) challenge
Everingham, M., Van Gool, L., Williams, C.K.I., Winn, J., Zisserman, A.: · 2010
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Detecting people in cubist art
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Overfeat: Integrated recognition, localization and detection using convolutional networks
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Rich feature hierarchies for accurate object detection and semantic segmentation
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Caffe: Convolutional architecture for fast feature embedding
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Object-class segmentation using deep convolutional neural networks
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Learning invariant structure for object identification by using graph methods
Xiao, B., Yi-Zhe, S., Hall, P.: · 2011
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Imagenet classification with deep convolutional neural networks
Krizhevsky, A., Sutskever, I., Hinton, G.E.: · 2012
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Diagnosing error in object detectors
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Chatfield, K., Simonyan, K., Vedaldi, A., Zisserman, A.: · 2014
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Very deep convolutional networks for large-scale image recognition
Simonyan, K., Zisserman, A.: · 2014
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Cross-depiction problem: Recognition and synthesis of photographs and artwork
Hall, P., Cai, H., Wu, Q., Corradi, T.: · 2015
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Fast r-cnn
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Lenc, K., Vedaldi, A.: · 2015
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Faster r-cnn: Towards real-time object detection with region proposal networks
Ren, S., He, K., Girshick, R., Sun, J.: · 2015
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You only look once: Unified, real-time object detection
Redmon, J., Divvala, S., Girshick, R., Farhadi, A.: · 2015
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Densebox: Unifying landmark localization with end to end object detection
Huang, L., Yang, Y., Deng, Y., Yu, Y.: · 2015
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Sketch-based 3d shape retrieval using convolutional neural networks
Wang, F., Kang, L., Li, Y.: · 2015
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Face painting: querying art with photos
Crowley, E.J., Parkhi, O.M., Zisserman, A.: · 2015
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Deep face recognition
Parkhi, O.M., Vedaldi, A., Zisserman, A.: · 2015
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