-
1
-
-
84887338331
-
Labelembedding for attribute-based classification
-
IEEE.
-
Z. Akata, F. Perronnin, Z. Harchaoui, and C. Schmid. Labelembedding for attribute-based classification. In CVPR, pages 819-826. IEEE, 2013.
-
(2013)
CVPR
, pp. 819-826
-
-
Akata, Z.1
Perronnin, F.2
Harchaoui, Z.3
Schmid, C.4
-
2
-
-
84947222450
-
Learning visual similarity for product design with convolutional neural networks
-
2
-
S. Bell and K. Bala. Learning visual similarity for product design with convolutional neural networks. In SIGGRAPH, 2015.
-
(2015)
SIGGRAPH
-
-
Bell, S.1
Bala, K.2
-
3
-
-
84887356895
-
Poof: Part-based one-vs.-one features for fine-grained categorization, face verification, and attribute estimation
-
IEEE, 1, 2
-
T. Berg and P. N. Belhumeur. Poof: Part-based one-vs.-one features for fine-grained categorization, face verification, and attribute estimation. In CVPR, pages 955-962. IEEE, 2013.
-
(2013)
CVPR
, pp. 955-962
-
-
Berg, T.1
Belhumeur, P.N.2
-
4
-
-
84911399752
-
Birdsnap: Large-scale fine-grained visual categorization of birds
-
IEEE, 1
-
T. Berg, J. Liu, S. W. Lee, M. L. Alexander, D. W. Jacobs, and P. N. Belhumeur. Birdsnap: Large-scale fine-grained visual categorization of birds. In CVPR, pages 2019-2026. IEEE, 2014.
-
(2014)
CVPR
, pp. 2019-2026
-
-
Berg, T.1
Liu, J.2
Lee, S.W.3
Alexander, M.L.4
Jacobs, D.W.5
Belhumeur, P.N.6
-
5
-
-
78149327581
-
Automatic attribute discovery and characterization from noisy web data
-
Springer, 3
-
T. L. Berg, A. C. Berg, and J. Shih. Automatic attribute discovery and characterization from noisy web data. In ECCV, pages 663-676. Springer, 2010.
-
(2010)
ECCV
, pp. 663-676
-
-
Berg, T.L.1
Berg, A.C.2
Shih, J.3
-
6
-
-
84906335989
-
Food-101-mining discriminative components with random forests
-
Springer, 1
-
L. Bossard, M. Guillaumin, and L. Van Gool. Food-101-mining discriminative components with random forests. In ECCV, pages 446-461. Springer, 2014.
-
(2014)
ECCV
, pp. 446-461
-
-
Bossard, L.1
Guillaumin, M.2
Van Gool, L.3
-
7
-
-
84898771336
-
Symbiotic segmentation and part localization for fine-grained categorization
-
IEEE, 1, 2
-
Y. Chai, V. Lempitsky, and A. Zisserman. Symbiotic segmentation and part localization for fine-grained categorization. In ICCV, pages 321-328. IEEE, 2013.
-
(2013)
ICCV
, pp. 321-328
-
-
Chai, Y.1
Lempitsky, V.2
Zisserman, A.3
-
8
-
-
77951165246
-
Large scale online learning of image similarity through ranking
-
2
-
G. Chechik, V. Sharma, U. Shalit, and S. Bengio. Large scale online learning of image similarity through ranking. JMLR, 11: 1109-1135, 2010.
-
(2010)
JMLR
, vol.11
, pp. 1109-1135
-
-
Chechik, G.1
Sharma, V.2
Shalit, U.3
Bengio, S.4
-
9
-
-
84959194731
-
Deep domain adaptation for describing people based on fine-grained clothing attributes
-
3
-
Q. Chen, J. Huang, R. Feris, L. M. Brown, J. Dong, and S. Yan. Deep domain adaptation for describing people based on fine-grained clothing attributes. In CVPR, pages 5315-5324, 2015.
-
(2015)
CVPR
, pp. 5315-5324
-
-
Chen, Q.1
Huang, J.2
Feris, R.3
Brown, L.M.4
Dong, J.5
Yan, S.6
-
10
-
-
24644436425
-
Learning a similarity metric discriminatively, with application to face verification
-
IEEE, 2, 3
-
S. Chopra, R. Hadsell, and Y. LeCun. Learning a similarity metric discriminatively, with application to face verification. In CVPR, volume 1, pages 539-546. IEEE, 2005.
-
(2005)
CVPR
, vol.1
, pp. 539-546
-
-
Chopra, S.1
Hadsell, R.2
LeCun, Y.3
-
11
-
-
84887325349
-
Fine-grained crowdsourcing for fine-grained recognition
-
IEEE, 1
-
J. Deng, J. Krause, and L. Fei-Fei. Fine-grained crowdsourcing for fine-grained recognition. In CVPR, pages 580-587. IEEE, 2013.
-
(2013)
CVPR
, pp. 580-587
-
-
Deng, J.1
Krause, J.2
Fei-Fei, L.3
-
12
-
-
84931572590
-
Deep feature learning with relative distance comparison for person reidentification
-
2
-
S. Ding, L. Lin, G. Wang, and H. Chao. Deep feature learning with relative distance comparison for person reidentification. Pattern Recognition, 2015.
-
(2015)
Pattern Recognition
-
-
Ding, S.1
Lin, L.2
Wang, G.3
Chao, H.4
-
13
-
-
84919881041
-
Decaf: A deep convolutional activation feature for generic visual recognition
-
T. Jebara and E. P. Xing, editors
-
J. Donahue, Y. Jia, O. Vinyals, J. Hoffman, N. Zhang, E. Tzeng, and T. Darrell. Decaf: A deep convolutional activation feature for generic visual recognition. In T. Jebara and E. P. Xing, editors, ICML, pages 647-655, 2014.
-
(2014)
ICML, 2
, pp. 647-655
-
-
Donahue, J.1
Jia, Y.2
Vinyals, O.3
Hoffman, J.4
Zhang, N.5
Tzeng, E.6
Darrell, T.7
-
14
-
-
84866719272
-
Discovering localized attributes for fine-grained recognition
-
IEEE, 3
-
K. Duan, D. Parikh, D. Crandall, and K. Grauman. Discovering localized attributes for fine-grained recognition. In CVPR, pages 3474-3481. IEEE, 2012.
-
(2012)
CVPR
, pp. 3474-3481
-
-
Duan, K.1
Parikh, D.2
Crandall, D.3
Grauman, K.4
-
15
-
-
84911449570
-
Nonparametric part transfer for fine-grained recognition
-
IEEE, 1, 2
-
C. Goering, E. Rodner, A. Freytag, and J. Denzler. Nonparametric part transfer for fine-grained recognition. In CVPR, pages 2489-2496. IEEE, 2014.
-
(2014)
CVPR
, pp. 2489-2496
-
-
Goering, C.1
Rodner, E.2
Freytag, A.3
Denzler, J.4
-
16
-
-
84980090975
-
The distribution of the flora in the alpine zone
-
5
-
P. Jaccard. The distribution of the flora in the alpine zone. New Phytologist, 11 (2): 37-50, 1912.
-
(1912)
New Phytologist
, vol.11
, Issue.2
, pp. 37-50
-
-
Jaccard, P.1
-
17
-
-
84913580146
-
Caffe: Convolutional architecture for fast feature embedding
-
ACM, 1
-
Y. Jia, E. Shelhamer, J. Donahue, S. Karayev, J. Long, R. Girshick, S. Guadarrama, and T. Darrell. Caffe: Convolutional architecture for fast feature embedding. In ACM MM, pages 675-678. ACM, 2014.
-
(2014)
ACM MM
, pp. 675-678
-
-
Jia, Y.1
Shelhamer, E.2
Donahue, J.3
Karayev, S.4
Long, J.5
Girshick, R.6
Guadarrama, S.7
Darrell, T.8
-
20
-
-
84959232423
-
Fine-grained recognition without part annotations
-
1
-
J. Krause, H. Jin, J. Yang, and L. Fei-Fei. Fine-grained recognition without part annotations. In CVPR, pages 5546-5555, 2015.
-
(2015)
CVPR
, pp. 5546-5555
-
-
Krause, J.1
Jin, H.2
Yang, J.3
Fei-Fei, L.4
-
21
-
-
84897485170
-
3d object representations for fine-grained categorization
-
IEEE, 1
-
J. Krause, M. Stark, J. Deng, and L. Fei-Fei. 3d object representations for fine-grained categorization. In ICCV Workshops, pages 554-561. IEEE, 2013.
-
(2013)
ICCV Workshops
, pp. 554-561
-
-
Krause, J.1
Stark, M.2
Deng, J.3
Fei-Fei, L.4
-
22
-
-
84876231242
-
Imagenet classification with deep convolutional neural networks
-
1
-
A. Krizhevsky, I. Sutskever, and G. E. Hinton. Imagenet classification with deep convolutional neural networks. In NIPS, pages 1097-1105, 2012.
-
(2012)
NIPS
, pp. 1097-1105
-
-
Krizhevsky, A.1
Sutskever, I.2
Hinton, G.E.3
-
23
-
-
84959204846
-
Simultaneous feature learning and hash coding with deep neural networks
-
2
-
H. Lai, Y. Pan, Y. Liu, and S. Yan. Simultaneous feature learning and hash coding with deep neural networks. CVPR, 2015.
-
(2015)
CVPR
-
-
Lai, H.1
Pan, Y.2
Liu, Y.3
Yan, S.4
-
24
-
-
84959188579
-
Deep lac: Deep localization, alignment and classification for fine-grained recognition
-
1
-
D. Lin, X. Shen, C. Lu, and J. Jia. Deep lac: Deep localization, alignment and classification for fine-grained recognition. In CVPR, pages 1666-1674, 2015.
-
(2015)
CVPR
, pp. 1666-1674
-
-
Lin, D.1
Shen, X.2
Lu, C.3
Jia, J.4
-
25
-
-
84973863234
-
Bilinear cnn models for fine-grained visual recognition
-
1
-
T.-Y. Lin, A. RoyChowdhury, and S. Maji. Bilinear cnn models for fine-grained visual recognition. ICCV, 2015.
-
(2015)
ICCV
-
-
Lin, T.-Y.1
RoyChowdhury, A.2
Maji, S.3
-
26
-
-
84906496740
-
Jointly optimizing 3d model fitting and fine-grained classification
-
Springer, 1
-
Y.-L. Lin, V. I. Morariu, W. Hsu, and L. S. Davis. Jointly optimizing 3d model fitting and fine-grained classification. In ECCV, pages 466-480. Springer, 2014.
-
(2014)
ECCV
, pp. 466-480
-
-
Lin, Y.-L.1
Morariu, V.I.2
Hsu, W.3
Davis, L.S.4
-
27
-
-
84877790557
-
Hamming distance metric learning
-
2, 3
-
M. Norouzi, D. M. Blei, and R. R. Salakhutdinov. Hamming distance metric learning. In NIPS, pages 1061-1069, 2012.
-
(2012)
NIPS
, pp. 1061-1069
-
-
Norouzi, M.1
Blei, D.M.2
Salakhutdinov, R.R.3
-
28
-
-
84866674414
-
Cats and dogs
-
IEEE, 1
-
O. M. Parkhi, A. Vedaldi, A. Zisserman, and C. Jawahar. Cats and dogs. In CVPR, pages 3498-3505. IEEE, 2012.
-
(2012)
CVPR
, pp. 3498-3505
-
-
Parkhi, O.M.1
Vedaldi, A.2
Zisserman, A.3
Jawahar, C.4
-
29
-
-
84978681252
-
Deep face recognition
-
2, 3, 6, 7
-
O. M. Parkhi, A. Vedaldi, A. Zisserman, A. Vedaldi, K. Lenc, M. Jaderberg, K. Simonyan, A. Vedaldi, A. Zisserman, K. Lenc, et al. Deep face recognition. BMVC, 2015.
-
(2015)
BMVC
-
-
Parkhi, O.M.1
Vedaldi, A.2
Zisserman, A.3
Vedaldi, A.4
Lenc, K.5
Jaderberg, M.6
Simonyan, K.7
Vedaldi, A.8
Zisserman, A.9
Lenc, K.10
-
30
-
-
84959255496
-
Fine-grained visual categorization via multi-stage metric learning
-
1, 2
-
Q. Qian, R. Jin, S. Zhu, and Y. Lin. Fine-grained visual categorization via multi-stage metric learning. In CVPR, pages 3716-3724, 2015.
-
(2015)
CVPR
, pp. 3716-3724
-
-
Qian, Q.1
Jin, R.2
Zhu, S.3
Lin, Y.4
-
31
-
-
84946751287
-
Facenet: A unified embedding for face recognition and clustering
-
2, 4, 6, 7, 8
-
F. Schroff, D. Kalenichenko, and J. Philbin. Facenet: A unified embedding for face recognition and clustering. CVPR, 2015.
-
(2015)
CVPR
-
-
Schroff, F.1
Kalenichenko, D.2
Philbin, J.3
-
32
-
-
84906347546
-
-
arXiv preprint arXiv: 1312. 6229, 1
-
P. Sermanet, D. Eigen, X. Zhang, M. Mathieu, R. Fergus, and Y. LeCun. Overfeat: Integrated recognition, localization and detection using convolutional networks. ArXiv preprint arXiv: 1312. 6229, 2013.
-
(2013)
Overfeat: Integrated Recognition, Localization and Detection Using Convolutional Networks
-
-
Sermanet, P.1
Eigen, D.2
Zhang, X.3
Mathieu, M.4
Fergus, R.5
LeCun, Y.6
-
33
-
-
84973931518
-
Scalable nonlinear embeddings for semantic category-based image retrieval
-
2
-
G. Sharma and B. Schiele. Scalable nonlinear embeddings for semantic category-based image retrieval. ICCV, 2015.
-
(2015)
ICCV
-
-
Sharma, G.1
Schiele, B.2
-
35
-
-
84937852544
-
Deep learning face representation by joint identification-verification
-
2
-
Y. Sun, Y. Chen, X. Wang, and X. Tang. Deep learning face representation by joint identification-verification. In NIPS, pages 1988-1996, 2014.
-
(2014)
NIPS
, pp. 1988-1996
-
-
Sun, Y.1
Chen, Y.2
Wang, X.3
Tang, X.4
-
36
-
-
84937522268
-
Going deeper with convolutions
-
1, 6
-
C. Szegedy, W. Liu, Y. Jia, P. Sermanet, S. Reed, D. Anguelov, D. Erhan, V. Vanhoucke, and A. Rabinovich. Going deeper with convolutions. CVPR, 2015.
-
(2015)
CVPR
-
-
Szegedy, C.1
Liu, W.2
Jia, Y.3
Sermanet, P.4
Reed, S.5
Anguelov, D.6
Erhan, D.7
Vanhoucke, V.8
Rabinovich, A.9
-
37
-
-
84911451595
-
Understanding objects in detail with fine-grained attributes
-
IEEE, 3
-
A. Vedaldi, S. Mahendran, S. Tsogkas, S. Maji, R. Girshick, J. Kannala, E. Rahtu, I. Kokkinos, M. B. Blaschko, D. Weiss, et al. Understanding objects in detail with fine-grained attributes. In CVPR, pages 3622-3629. IEEE, 2014.
-
(2014)
CVPR
, pp. 3622-3629
-
-
Vedaldi, A.1
Mahendran, S.2
Tsogkas, S.3
Maji, S.4
Girshick, R.5
Kannala, J.6
Rahtu, E.7
Kokkinos, I.8
Blaschko, M.B.9
Weiss, D.10
-
38
-
-
84911368243
-
Similarity comparisons for interactive finegrained categorization
-
IEEE, 1, 2
-
C. Wah, G. Van Horn, S. Branson, S. Maji, P. Perona, and S. Belongie. Similarity comparisons for interactive finegrained categorization. In CVPR, pages 859-866. IEEE, 2014.
-
(2014)
CVPR
, pp. 859-866
-
-
Wah, C.1
Van Horn, G.2
Branson, S.3
Maji, S.4
Perona, P.5
Belongie, S.6
-
39
-
-
84911376543
-
Learning fine-grained image similarity with deep ranking
-
IEEE, 1, 2, 6, 7, 8
-
J. Wang, Y. Song, T. Leung, C. Rosenberg, J. Wang, J. Philbin, B. Chen, and Y. Wu. Learning fine-grained image similarity with deep ranking. In CVPR, pages 1386-1393. IEEE, 2014.
-
(2014)
CVPR
, pp. 1386-1393
-
-
Wang, J.1
Song, Y.2
Leung, T.3
Rosenberg, C.4
Wang, J.5
Philbin, J.6
Chen, B.7
Wu, Y.8
-
40
-
-
84898769710
-
Regionlets for generic object detection
-
IEEE, 7
-
X. Wang, M. Yang, S. Zhu, and Y. Lin. Regionlets for generic object detection. In ICCV, pages 17-24. IEEE, 2013.
-
(2013)
ICCV
, pp. 17-24
-
-
Wang, X.1
Yang, M.2
Zhu, S.3
Lin, Y.4
-
41
-
-
61749090884
-
Distance metric learning for large margin nearest neighbor classification
-
1
-
K. Q. Weinberger and L. K. Saul. Distance metric learning for large margin nearest neighbor classification. JMLR, 10: 207-244, 2009.
-
(2009)
JMLR
, vol.10
, pp. 207-244
-
-
Weinberger, K.Q.1
Saul, L.K.2
-
42
-
-
84904608165
-
Deepface: Closing the gap to human-level performance in face verification
-
2
-
L. Wolf. Deepface: Closing the gap to human-level performance in face verification. In CVPR. IEEE, 2014.
-
(2014)
CVPR. IEEE
-
-
Wolf, L.1
-
43
-
-
84959255406
-
The application of two-level attention models in deep convolutional neural network for fine-grained image classification
-
2
-
T. Xiao, Y. Xu, K. Yang, J. Zhang, Y. Peng, and Z. Zhang. The application of two-level attention models in deep convolutional neural network for fine-grained image classification. CVPR, 2015.
-
(2015)
CVPR
-
-
Xiao, T.1
Xu, Y.2
Yang, K.3
Zhang, J.4
Peng, Y.5
Zhang, Z.6
-
44
-
-
84959248782
-
Hyper-class augmented and regularized deep learning for fine-grained image classification
-
3, 7
-
S. Xie, T. Yang, X. Wang, and Y. Lin. Hyper-class augmented and regularized deep learning for fine-grained image classification. In CVPR, volume 580, 2015.
-
(2015)
CVPR
, vol.580
-
-
Xie, S.1
Yang, T.2
Wang, X.3
Lin, Y.4
-
45
-
-
84959184327
-
A large-scale car dataset for fine-grained categorization and verification
-
IEEE.
-
L. Yang, P. Luo, C. C. Loy, and X. Tang. A large-scale car dataset for fine-grained categorization and verification. In CVPR, pages 3973-3981. IEEE, 2015.
-
(2015)
CVPR
, pp. 3973-3981
-
-
Yang, L.1
Luo, P.2
Loy, C.C.3
Tang, X.4
-
46
-
-
84877743496
-
Unsupervised template learning for fine-grained object recognition
-
1, 2
-
S. Yang, L. Bo, J. Wang, and L. G. Shapiro. Unsupervised template learning for fine-grained object recognition. In NIPS, pages 3122-3130, 2012.
-
(2012)
NIPS
, pp. 3122-3130
-
-
Yang, S.1
Bo, L.2
Wang, J.3
Shapiro, L.G.4
-
47
-
-
77955988961
-
Food recognition using statistics of pairwise local features
-
IEEE, 1
-
S. Yang, M. Chen, D. Pomerleau, and R. Sukthankar. Food recognition using statistics of pairwise local features. In CVPR, pages 2249-2256. IEEE, 2010.
-
(2010)
CVPR
, pp. 2249-2256
-
-
Yang, S.1
Chen, M.2
Pomerleau, D.3
Sukthankar, R.4
-
49
-
-
84911374908
-
Fine-grained visual comparisons with local learning
-
IEEE, 3
-
A. Yu and K. Grauman. Fine-grained visual comparisons with local learning. In CVPR, pages 192-199. IEEE, 2014.
-
(2014)
CVPR
, pp. 192-199
-
-
Yu, A.1
Grauman, K.2
-
50
-
-
84906514027
-
Partbased r-cnns for fine-grained category detection
-
Springer, 1, 2
-
N. Zhang, J. Donahue, R. Girshick, and T. Darrell. Partbased r-cnns for fine-grained category detection. In ECCV, pages 834-849. Springer, 2014.
-
(2014)
ECCV
, pp. 834-849
-
-
Zhang, N.1
Donahue, J.2
Girshick, R.3
Darrell, T.4
-
51
-
-
84898819241
-
Deformable part descriptors for fine-grained recognition and attribute prediction
-
IEEE, 1, 2
-
N. Zhang, R. Farrell, F. Iandola, and T. Darrell. Deformable part descriptors for fine-grained recognition and attribute prediction. In ICCV, pages 729-736. IEEE, 2013.
-
(2013)
ICCV
, pp. 729-736
-
-
Zhang, N.1
Farrell, R.2
Iandola, F.3
Darrell, T.4
|