Training Hierarchical Feed-Forward Visual Recognition Models Using Transfer Learning from Pseudo-Tasks, ECCV, 2008. ,
DOI : 10.1007/978-3-540-88690-7_6
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.141.6514
Tabula rasa: Model transfer for object category detection, 2011 International Conference on Computer Vision, 2011. ,
DOI : 10.1109/ICCV.2011.6126504
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.422.4758
Learning midlevel features for recognition, CVPR, 2010. ,
Natural language processing (almost) from scratch, JMLR, vol.12, pp.2493-2537, 2006. ,
Visual categorization with bags of keypoints, ECCV Workshop, 2004. ,
Histograms of Oriented Gradients for Human Detection, 2005 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'05), 2005. ,
DOI : 10.1109/CVPR.2005.177
URL : https://hal.archives-ouvertes.fr/inria-00548512
ImageNet: A Large-Scale Hierarchical Image Database, CVPR, 2009. ,
Decaf: A deep convolutional activation feature for generic visual recognition, p.7, 2013. ,
The Pascal Visual Object Classes (VOC) Challenge, International Journal of Computer Vision, vol.73, issue.2, pp.303-338, 2010. ,
DOI : 10.1007/s11263-009-0275-4
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.167.6629
Learning Hierarchical Features for Scene Labeling, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.35, issue.8, p.5 ,
DOI : 10.1109/TPAMI.2012.231
URL : https://hal.archives-ouvertes.fr/hal-00742077
A latent model of discriminative aspect, 2009 IEEE 12th International Conference on Computer Vision, 2009. ,
DOI : 10.1109/ICCV.2009.5459350
Object Detection with Discriminatively Trained Part-Based Models, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.32, issue.9, pp.1627-1645, 2010. ,
DOI : 10.1109/TPAMI.2009.167
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.153.2745
A discriminatively trained, multiscale, deformable part model, 2008 IEEE Conference on Computer Vision and Pattern Recognition, 2008. ,
DOI : 10.1109/CVPR.2008.4587597
Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position, Biological Cybernetics, vol.40, issue.4, pp.193-202, 1980. ,
DOI : 10.1007/BF00344251
Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation, 2014 IEEE Conference on Computer Vision and Pattern Recognition, p.7 ,
DOI : 10.1109/CVPR.2014.81
Caltech-256 object category dataset, 2007. ,
Learning multiple layers of representation, Trends in Cognitive Sciences, vol.11, issue.10, pp.428-434, 2007. ,
DOI : 10.1016/j.tics.2007.09.004
Receptive fields of single neurones in the cat's striate cortex, The Journal of Physiology, vol.148, issue.3, pp.574-591, 1959. ,
DOI : 10.1113/jphysiol.1959.sp006308
Instance weighting for domain adaptation in NLP, ACL, 2007. ,
Blocks That Shout: Distinctive Parts for Scene Classification, 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013. ,
DOI : 10.1109/CVPR.2013.124
Undoing the Damage of Dataset Bias, ECCV, 2012. ,
DOI : 10.1007/978-3-642-33718-5_12
Imagenet classification with deep convolutional neural networks, NIPS, 2007. ,
A time delay neural network architecture for speech recognition, 1988. ,
Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, Volume 2 (CVPR'06), 2006. ,
DOI : 10.1109/CVPR.2006.68
URL : https://hal.archives-ouvertes.fr/inria-00548585
Building high-level features using large scale unsupervised learning, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing, p.3 ,
DOI : 10.1109/ICASSP.2013.6639343
URL : http://arxiv.org/abs/1112.6209
Learning hierarchical invariant spatio-temporal features for action recognition with independent subspace analysis, CVPR 2011, 2011. ,
DOI : 10.1109/CVPR.2011.5995496
Backpropagation Applied to Handwritten Zip Code Recognition, Neural Computation, vol.1, issue.4, pp.541-551, 1989. ,
DOI : 10.1007/BF00133697
Gradientbased learning applied to document recognition, PIEEE, vol.86, issue.11 1, pp.2278-2324, 1998. ,
DOI : 10.1109/5.726791
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.138.1115
Learning methods for generic object recognition with invariance to pose and lighting, Proceedings of the 2004 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2004. CVPR 2004., 2004. ,
DOI : 10.1109/CVPR.2004.1315150
Distinctive Image Features from Scale-Invariant Keypoints, International Journal of Computer Vision, vol.60, issue.2, pp.91-110, 2004. ,
DOI : 10.1023/B:VISI.0000029664.99615.94
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.14.4931
Synergistic Face Detection and Pose Estimation with Energy-Based Models, NIPS, 2005. ,
DOI : 10.1007/11957959_10
A survey on transfer learning. Knowledge and Data Engineering, IEEE Transactions on, vol.22, issue.10 2, pp.1345-1359, 2010. ,
Improving the Fisher Kernel for Large-Scale Image Classification, ECCV, 2010. ,
DOI : 10.1007/978-3-642-15561-1_11
URL : https://hal.archives-ouvertes.fr/inria-00548630
Detecting activities of daily living in first-person camera views, 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012. ,
DOI : 10.1109/CVPR.2012.6248010
Histograms of Sparse Codes for Object Detection, 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013. ,
DOI : 10.1109/CVPR.2013.417
The perceptron: A perceiving and recognizing automaton, 1957. ,
Learning representations by back-propagating errors, Nature, vol.85, issue.6088, pp.533-536, 1986. ,
DOI : 10.1038/323533a0
Adapting Visual Category Models to New Domains, ECCV, 2010. ,
DOI : 10.1007/978-3-642-15561-1_16
URL : http://hdl.handle.net/11858/00-001M-0000-0017-E577-9
Overfeat: Integrated recognition, localization and detection using convolutional networks, p.7, 2013. ,
Best practices for convolutional neural networks applied to visual document analysis, Seventh International Conference on Document Analysis and Recognition, 2003. Proceedings., pp.958-962, 2003. ,
DOI : 10.1109/ICDAR.2003.1227801
Unsupervised Discovery of Mid-Level Discriminative Patches, ECCV, 2012. ,
DOI : 10.1007/978-3-642-33709-3_6
Video Google: a text retrieval approach to object matching in videos, Proceedings Ninth IEEE International Conference on Computer Vision, 2003. ,
DOI : 10.1109/ICCV.2003.1238663
Contextualizing object detection and classification, CVPR 2011, 2011. ,
DOI : 10.1109/CVPR.2011.5995330
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.660.6015
Convolutional Learning of Spatio-temporal Features, ECCV, 2010. ,
DOI : 10.1007/978-3-642-15567-3_11
Safety in numbers: Learning categories from few examples with multi model knowledge transfer, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition, 2010. ,
DOI : 10.1109/CVPR.2010.5540064
Unbiased look at dataset bias, CVPR 2011, 2004. ,
DOI : 10.1109/CVPR.2011.5995347
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.208.2314
Original approach for the localisation of objects in images, IEE Proceedings - Vision, Image, and Signal Processing, vol.141, issue.4, pp.245-250, 1994. ,
DOI : 10.1049/ip-vis:19941301
Generalized hierarchical matching for sub-category aware object classification, Visual Recognition Challange workshop, ECCV, 2012. ,
Visualizing and Understanding Convolutional Networks, p.7, 2013. ,
DOI : 10.1007/978-3-319-10590-1_53
URL : http://arxiv.org/abs/1311.2901
Adaptive deconvolutional networks for mid and high level feature learning, 2011 International Conference on Computer Vision ,
DOI : 10.1109/ICCV.2011.6126474
URL : http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.227.7393