Microsoft coco: Common objects in context TY Lin, M Maire, S Belongie, J Hays, P Perona, D Ramanan, P Dollár, ... Computer Vision–ECCV 2014: 13th European Conference, Zurich, Switzerland …, 2014 | 48241 | 2014 |
Scale-space and edge detection using anisotropic diffusion P Perona, J Malik IEEE Transactions on pattern analysis and machine intelligence 12 (7), 629-639, 1990 | 17474 | 1990 |
Learning generative visual models from few training examples: An incremental bayesian approach tested on 101 object categories L Fei-Fei, R Fergus, P Perona 2004 conference on computer vision and pattern recognition workshop, 178-178, 2004 | 5496 | 2004 |
A bayesian hierarchical model for learning natural scene categories L Fei-Fei, P Perona 2005 IEEE computer society conference on computer vision and pattern …, 2005 | 5067 | 2005 |
Graph-based visual saliency J Harel, C Koch, P Perona Advances in neural information processing systems 19, 2006 | 4730 | 2006 |
The caltech-ucsd birds-200-2011 dataset C Wah, S Branson, P Welinder, P Perona, S Belongie California Institute of Technology, 2011 | 4258 | 2011 |
Pedestrian detection: An evaluation of the state of the art P Dollar, C Wojek, B Schiele, P Perona IEEE transactions on pattern analysis and machine intelligence 34 (4), 743-761, 2011 | 4054 | 2011 |
Object class recognition by unsupervised scale-invariant learning R Fergus, P Perona, A Zisserman 2003 IEEE Computer Society Conference on Computer Vision and Pattern …, 2003 | 3066 | 2003 |
One-shot learning of object categories L Fei-Fei, R Fergus, P Perona IEEE transactions on pattern analysis and machine intelligence 28 (4), 594-611, 2006 | 3060 | 2006 |
Caltech-256 object category dataset G Griffin, A Holub, P Perona Technical Report 7694, California Institute of Technology, 2007 | 2908 | 2007 |
Self-tuning spectral clustering L Zelnik-Manor, P Perona Advances in neural information processing systems 17, 2004 | 2876 | 2004 |
Fast feature pyramids for object detection P Dollár, R Appel, S Belongie, P Perona IEEE transactions on pattern analysis and machine intelligence 36 (8), 1532-1545, 2014 | 2421 | 2014 |
Pedestrian detection: A benchmark P Dollár, C Wojek, B Schiele, P Perona 2009 IEEE conference on computer vision and pattern recognition, 304-311, 2009 | 1864 | 2009 |
Caltech-UCSD birds 200 P Welinder, S Branson, T Mita, C Wah, F Schroff, S Belongie, P Perona Technical Report CNS-TR-2010-001, California Institute of Technology 2 (5), 11, 2010 | 1704 | 2010 |
Integral channel features. P Dollár, Z Tu, P Perona, SJ Belongie Bmvc 2 (3), 5, 2009 | 1679 | 2009 |
Fleet D Pajdla T Schiele B Tuytelaars T et al TY Lin, M Maire, S Belongie, J Hays, P Perona, D Ramanan, P Dollár, ... Microsoft COCO: common objects in context Computer Vision–ECCV 2014, 2014 | 1442 | 2014 |
Preattentive texture discrimination with early vision mechanisms J Malik, P Perona JOSA A 7 (5), 923-932, 1990 | 1378 | 1990 |
The multidimensional wisdom of crowds P Welinder, S Branson, SJ Belongie, P Perona Advances in Neural Information Processing Systems (NIPS), 2424-2432, 2010 | 1176 | 2010 |
The inaturalist species classification and detection dataset SB Grant Van Horn, Oisin Mac Aodha, Yang Song, Yin Cui, Chen Sun, Alex ... IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2018, 8769-8778, 2018 | 1118* | 2018 |
Microsoft coco: Common objects in context [C] TY Lin, M Maire, S Belongie, J Hays, P Perona, D Ramanan, P Dollár, ... European conference on computer vision, 740-755, 2014 | 1015 | 2014 |