Fetching the paper…
Reading the bibliography…
Object category localization is a challenging problem in computer vision.
Solving the multiple instance problem with axis-parallel rectangles
T. Dietterich, R. Lathrop, and T. Lozano-Pérez · 1997
Earlier work this paper cites.
Unsupervised learning by probabilistic latent semantic analysis
T. Hofmann · 2001
Earlier work this paper cites.
Latent Dirichlet allocation
D. Blei, A. Ng, and M. Jordan · 2003
Earlier work this paper cites.
Names and faces in the news
T. Berg, A. Berg, J. Edwards, M. Maire, R. White, Y. Teh, E. Learned-Miller, and D. Forsyth · 2004
Earlier work this paper cites.
Visual categorization with bags of keypoints
G. Csurka, C. Dance, L. Fan, J. Willamowski, and C. Bray · 2004
Earlier work this paper cites.
Smooth minimization of non-smooth functions
Y. Nesterov · 2005
Earlier work this paper cites.
Weakly supervised learning of part-based spatial models for visual object recognition
D. Crandall and D. Huttenlocher · 2006
Earlier work this paper cites.
Beyond bags of features: spatial pyramid matching for recognizing natural scene categories
S. Lazebnik, C. Schmid, and J. Ponce · 2006
Earlier work this paper cites.
An exemplar model for learning object classes
O. Chum and A. Zisserman · 2007
Earlier work this paper cites.
Region classification with Markov field aspect models
J. Verbeek and B. Triggs · 2007
Earlier work this paper cites.
Curriculum learning
Y. Bengio, J. Louradour, R. Collobert, and J. Weston · 2009
Earlier work this paper cites.
Taking the bite out of automatic naming of characters in TV video
M. Everingham, J. Sivic, and A. Zisserman · 2009
Earlier work this paper cites.
Unsupervised detection of regions of interest using iterative link analysis
G. Kim and A. Torralba · 2009
Earlier work this paper cites.
Efficient subwindow search: a branch and bound framework for object localization
C. Lampert, M. Blaschko, and T. Hofmann · 2009
Earlier work this paper cites.
Weakly supervised discriminative localization and classification: a joint learning process
M. Nguyen, L. Torresani, F. de la Torre, and C. Rother · 2009
Earlier work this paper cites.
What is an object?
B. Alexe, T. Deselaers, and V. Ferrari · 2010
Earlier work this paper cites.
Why modern CPUs are starving and what can be done about it
F. Alted · 2010
Earlier work this paper cites.
Detecting and sketching the common
S. Bagon, O. Brostovski, M. Galun, and M. Irani · 2010
Earlier work this paper cites.
Simultaneous object detection and ranking with weak supervision
M. Blaschko, A. Vedaldi, and A. Zisserman · 2010
Earlier work this paper cites.
The PASCAL visual object classes (VOC) challenge
M. Everingham, L. van Gool, C. Williams, J. Winn, and A. Zisserman · 2010
Cited alongside, same era.
Object detection with discriminatively trained part based models
P. Felzenszwalb, R. Grishick, D. McAllester, and D. Ramanan · 2010
Cited alongside, same era.
Self-paced learning for latent variable models
M. P. Kumar, B. Packer, and D. Koller · 2010
Cited alongside, same era.
Locality-constrained linear coding for image classification
J. Wang, J. Yang, K. Yu, F. Lv, T. Huang, and Y. Gong · 2010
Cited alongside, same era.
Product quantization for nearest neighbor search
H. Jégou, M. Douze, and C. Schmid · 2011
Cited alongside, same era.
Scene recognition and weakly supervised object localization with deformable part-based models
M. Pandey and S. Lazebnik · 2011
Cited alongside, same era.
In defence of negative mining for annotating weakly labelled data
P. Siva, C. Russell, and T. Xiang · 2012
Later among the works it cites.
Segmentation driven object detection with Fisher vectors
R. Cinbis, J. Verbeek, and C. Schmid · 2013
Later among the works it cites.
Rich feature hierarchies for accurate object detection and semantic segmentation
R. Girshick, J. Donahue, T. Darrell, and J. Malik · 2013
Later among the works it cites.
Image classification with the Fisher vector: Theory and practice
J. Sánchez, F. Perronnin, T. Mensink, and J. Verbeek · 2013
Later among the works it cites.
Bayesian joint topic modelling for weakly supervised object localisation
Z. Shi, T. Hospedales, and T. Xiang · 2013
Later among the works it cites.
Looking beyond the image: Unsupervised learning for object saliency and detection
P. Siva, C. Russell, T. Xiang, and L. Agapito · 2013
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
The truth about cats and dogs
O. Parkhi, A. Vedaldi, C. Jawahar, and A. Zisserman · 2011
Cited alongside, same era.
Weakly supervised object detector learning with model drift detection
P. Siva and T. Xiang · 2011
Cited alongside, same era.
Contextualizing object detection and classification
Z. Song, Q. Chen, Z. Huang, Y. Hua, and S. Yan · 2011
Cited alongside, same era.
Large-scale live active learning: Training object detectors with crawled data and crowds
S. Vijayanarasimhan and K. Grauman · 2011
Cited alongside, same era.
Measuring the objectness of image windows
B. Alexe, T. Deselaers, and V. Ferrari · 2012
Cited alongside, same era.
Weakly supervised localization and learning with generic knowledge
T. Deselaers, B. Alexe, and V. Ferrari · 2012
Cited alongside, same era.
Later among the works it cites.
Selective search for object recognition
J. Uijlings, K. van de Sande, T. Gevers, and A. Smeulders · 2013
Later among the works it cites.
Regionlets for generic object detection
X. Wang, M. Yang, S. Zhu, and Y. Lin · 2013
Later among the works it cites.
Object and action classification with latent window parameters
H. Bilen, V. Namboodiri, and L. Van Gool · 2014
Later among the works it cites.
Weakly supervised object detection with posterior regularization
H. Bilen, M. Pedersoli, and T. Tuytelaars · 2014
Later among the works it cites.
Multi-fold MIL training for weakly supervised object localization
R. Cinbis, J. Verbeek, and C. Schmid · 2014
Later among the works it cites.
Caffe: Convolutional architecture for fast feature embedding
Y. Jia, E. Shelhamer, J. Donahue, S. Karayev, J. Long, R. Girshick, S. Guadarrama, and T. Darrell · 2014
Later among the works it cites.
On learning to localize objects with minimal supervision
H. Song, R. Girshick, S. Jegelka, J. Mairal, Z. Harchaoui, and T. Darrell · 2014
Later among the works it cites.
Weakly-supervised discovery of visual pattern configurations
H. Song, Y. Lee, S. Jegelka, and T. Darrell · 2014
Later among the works it cites.
Fisher and VLAD with FLAIR
K. van de Sande, C. Snoek, and A. Smeulders · 2014
Later among the works it cites.
Weakly supervised object localization with latent category learning
C. Wang, W. Ren, K. Huang, and T. Tan · 2014
Later among the works it cites.
Edge boxes: Locating object proposals from edges
C. Zitnick and P. Dollár · 2014
Later among the works it cites.
Unsupervised Object Discovery and Localization in the Wild: Part-based Matching with Bottom-up Region Proposals
M. Cho, S. Kwak, C. Schmid, and J. Ponce · 2015
Closest in time.