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Existing image classification datasets used in computer vision tend to have a uniform distribution of images across object categories.
A visual vocabulary for flower classification
M.-E. Nilsback and A. Zisserman · 2006
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Learning generative visual models from few training examples: An incremental Bayesian approach tested on 101 object categories
L. Fei-Fei, R. Fergus, and P. Perona · 2007
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Labeled faces in the wild: A database for studying face recognition in unconstrained environments
G. B. Huang, M. Ramesh, T. Berg, and E. Learned-Miller · 2007
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The pascal visual object classes (voc) challenge
M. Everingham, L. Van Gool, C. K. Williams, J. Winn, and A. Zisserman · 2010
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Caltech-ucsd birds 200
P. Welinder, S. Branson, T. Mita, C. Wah, F. Schroff, S. Belongie, and P. Perona · 2010
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Novel dataset for fine-grained image categorization
A. Khosla, N. Jayadevaprakash, B. Yao, and L. Fei-Fei · 2011
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How many species are there on earth and in the ocean?
C. Mora, D. P. Tittensor, S. Adl, A. G. Simpson, and B. Worm · 2011
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The caltech-ucsd birds-200-2011 dataset
C. Wah, S. Branson, P. Welinder, P. Perona, and S. Belongie · 2011
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Biodiversity loss and its impact on humanity
B. J. Cardinale, J. E. Duffy, A. Gonzalez, D. U. Hooper, C. Perrings, P. Venail, A. Narwani, G. M. Mace, D. Tilman, D. A. Wardle, et al · 2012
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Leafsnap: A computer vision system for automatic plant species identification
N. Kumar, P. N. Belhumeur, A. Biswas, D. W. Jacobs, W. J. Kress, I. C. Lopez, and J. V. Soares · 2012
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Dog breed classification using part localization
J. Liu, A. Kanazawa, D. Jacobs, and P. Belhumeur · 2012
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Taxonomic multi-class prediction and person layout using efficient structured ranking
A. Mittal, M. Blaschko, A. Zisserman, and P. Torr · 2012
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Cats and dogs
O. M. Parkhi, A. Vedaldi, A. Zisserman, and C. V. Jawahar · 2012
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3d object representations for fine-grained categorization
J. Krause, M. Stark, J. Deng, and L. Fei-Fei · 2013
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Fine-grained visual classification of aircraft
S. Maji, E. Rahtu, J. Kannala, M. Blaschko, and A. Vedaldi · 2013
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Birdsnap: Large-scale fine-grained visual categorization of birds
T. Berg, J. Liu, S. W. Lee, M. L. Alexander, D. W. Jacobs, and P. N. Belhumeur · 2014
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Microsoft COCO: Common objects in context
T.-Y. Lin, M. Maire, S. Belongie, J. Hays, P. Perona, D. Ramanan, P. Dollár, and C. L. Zitnick · 2014
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Jointly optimizing 3d model fitting and fine-grained classification
Y.-L. Lin, V. I. Morariu, W. Hsu, and L. S. Davis · 2014
Cited alongside, same era.
Near-optimally teaching the crowd to classify
A. Singla, I. Bogunovic, G. Bartók, A. Karbasi, and A. Krause · 2014
Cited alongside, same era.
Deepface: Closing the gap to human-level performance in face verification
Y. Taigman, M. Yang, M. Ranzato, and L. Wolf · 2014
Cited alongside, same era.
Understanding objects in detail with fine-grained attributes
A. Vedaldi, S. Mahendran, S. Tsogkas, S. Maji, R. Girshick, J. Kannala, E. Rahtu, I. Kokkinos, M. Blaschko, D. Weiss, et al · 2014
Cited alongside, same era.
Fine-grained visual comparisons with local learning
A. Yu and K. Grauman · 2014
Cited alongside, same era.
Becoming the expert-interactive multi-class machine teaching
E. Johns, O. Mac Aodha, and G. J. Brostow · 2015
The unreasonable effectiveness of noisy data for fine-grained recognition
J. Krause, B. Sapp, A. Howard, H. Zhou, A. Toshev, T. Duerig, J. Philbin, and L. Fei-Fei · 2016
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Inception-v4, inception-resnet and the impact of residual connections on learning
C. Szegedy, S. Ioffe, V. Vanhoucke, and A. Alemi · 2016
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Rethinking the inception architecture for computer vision
C. Szegedy, V. Vanhoucke, S. Ioffe, J. Shlens, and Z. Wojna · 2016
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Cataloging public objects using aerial and street-level images-urban trees
J. D. Wegner, S. Branson, D. Hall, K. Schindler, and P. Perona · 2016
Later among the works it cites.
Vggface2: A dataset for recognising faces across pose and age
Q. Cao, L. Shen, W. Xie, O. M. Parkhi, and A. Zisserman · 2017
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Cited alongside, same era.
Deep face recognition
O. M. Parkhi, A. Vedaldi, A. Zisserman, et al · 2015
Cited alongside, same era.
Imagenet large scale visual recognition challenge
O. Russakovsky, J. Deng, H. Su, J. Krause, S. Satheesh, S. Ma, Z. Huang, A. Karpathy, A. Khosla, M. Bernstein, et al · 2015
Cited alongside, same era.
Facenet: A unified embedding for face recognition and clustering
F. Schroff, D. Kalenichenko, and J. Philbin · 2015
Cited alongside, same era.
Going deeper with convolutions
C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, and A. Rabinovich · 2015
Cited alongside, same era.
Building a bird recognition app and large scale dataset with citizen scientists: The fine print in fine-grained dataset collection
G. Van Horn, S. Branson, R. Farrell, S. Haber, J. Barry, P. Ipeirotis, P. Perona, and S. Belongie · 2015
Cited alongside, same era.
Hd-cnn: hierarchical deep convolutional neural networks for large scale visual recognition
Z. Yan, H. Zhang, R. Piramuthu, V. Jagadeesh, D. DeCoste, W. Di, and Y. Yu · 2015
Cited alongside, same era.
Fine-grained car detection for visual census estimation
T. Gebru, J. Krause, Y. Wang, D. Chen, J. Deng, and L. Fei-Fei · 2017
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Vegfru: A domain-specific dataset for fine-grained visual categorization
S. Hou, Y. Feng, and Z. Wang · 2017
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Mobilenets: Efficient convolutional neural networks for mobile vision applications
A. G. Howard, M. Zhu, B. Chen, D. Kalenichenko, W. Wang, T. Weyand, M. Andreetto, and H. Adam · 2017
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Squeeze-and-excitation networks
J. Hu, L. Shen, and G. Sun · 2017
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Speed/accuracy trade-offs for modern convolutional object detectors
J. Huang, V. Rathod, C. Sun, M. Zhu, A. Korattikara, A. Fathi, I. Fischer, Z. Wojna, Y. Song, S. Guadarrama, et al · 2017
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Faster r-cnn: Towards real-time object detection with region proposal networks
S. Ren, K. He, R. Girshick, and J. Sun · 2017
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Deep learning is robust to massive label noise
D. Rolnick, A. Veit, S. Belongie, and N. Shavit · 2017
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iNaturalist Research-grade Observations. iNaturalist.org. Occurrence Dataset
K. Ueda · 2017
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Bam! the behance artistic media dataset for recognition beyond photography
M. J. Wilber, C. Fang, H. Jin, A. Hertzmann, J. Collomosse, and S. Belongie · 2017
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Aggregated residual transformations for deep neural networks
S. Xie, R. Girshick, P. Dollár, Z. Tu, and K. He · 2017
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The iMaterialist Challenge 2017 Dataset
X. Zhang, Y. Cui, Y. Song, H. Adam, and S. Belongie · 2017
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