-
1
-
-
84906351367
-
Analyzing the performance of multilayer neural networks for object recognition
-
Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.), LNCS, Springer, Heidelberg
-
Agrawal, P., Girshick, R., Malik, J.: Analyzing the performance of multilayer neural networks for object recognition. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) ECCV 2014, Part 7. LNCS, vol. 8695, pp. 329-344. Springer, Heidelberg (2014)
-
(2014)
ECCV 2014
, vol.8695
, pp. 329-344
-
-
Agrawal, P.1
Girshick, R.2
Malik, J.3
-
2
-
-
84864049234
-
Analysis of representations for domain adaptation
-
Ben-David, S., Blitzer, J., Crammer, K., Pereira, F.: Analysis of representations for domain adaptation. In: NIPS (2007)
-
(2007)
NIPS
-
-
Ben-David, S.1
Blitzer, J.2
Crammer, K.3
Pereira, F.4
-
3
-
-
85072028231
-
Return of the devil in the details: Delving deep into convolutional nets
-
Chatfield, K., Simonyan, K., Vedaldi, A., Zisserman, A.: Return of the devil in the details: delving deep into convolutional nets. In: BMVC (2014)
-
(2014)
BMVC
-
-
Chatfield, K.1
Simonyan, K.2
Vedaldi, A.3
Zisserman, A.4
-
4
-
-
84938855688
-
-
Efficient on-the-fly category retrieval using ConvNets and GPUs, In: Cremers, D., Reid, I., Saito, H., Yang, M.-H. (eds.) ACCV 2014. LNCS, Springer, Heidelberg
-
Chatfield, K., Simonyan, K., Zisserman, A.: Efficient on-the-fly category retrieval using ConvNets and GPUs. In: Cremers, D., Reid, I., Saito, H., Yang, M.-H. (eds.) ACCV 2014. LNCS, vol. 9003, pp. 129-145. Springer, Heidelberg (2015)
-
(2015)
, vol.9003
, pp. 129-145
-
-
Chatfield, K.1
Simonyan, K.2
Zisserman, A.3
-
5
-
-
85198028989
-
ImageNet: A large-scale hierarchical image database
-
Deng, J., Dong, W., Socher, R., Li, L., Li, K., Fei-Fei, L.: ImageNet: a large-scale hierarchical image database. In: CVPR (2009)
-
(2009)
CVPR
-
-
Deng, J.1
Dong, W.2
Socher, R.3
Li, L.4
Li, K.5
Fei-Fei, L.6
-
6
-
-
84919881041
-
Decaf: A deep convolutional activation feature for generic visual recognition
-
Donahue, J., Jia, Y., Vinyals, O., Hoffman, J., Zhang, N., Tzeng, E., Darrell, T.: Decaf: a deep convolutional activation feature for generic visual recognition. In: ICML (2014). https://github.com/UCB-ICSI-Vision-Group/decaf-release/
-
(2014)
ICML
-
-
Donahue, J.1
Jia, Y.2
Vinyals, O.3
Hoffman, J.4
Zhang, N.5
Tzeng, E.6
Darrell, T.7
-
7
-
-
79953064532
-
Domain adaptation from multiple sources via auxiliary classifiers
-
Duan, L., Tsang, I.W., Xu, D., Chua, T.S.: Domain adaptation from multiple sources via auxiliary classifiers. In: ICML (2009)
-
(2009)
ICML
-
-
Duan, L.1
Tsang, I.W.2
Xu, D.3
Chua, T.S.4
-
8
-
-
77951298115
-
The pascal visual object classes (VOC) challenge
-
Everingham, M., Gool, L.V., Williams, C.K., Winn, J., Zisserman, A.: The pascal visual object classes (VOC) challenge. IJCV 88(2), 303-338 (2010)
-
(2010)
IJCV
, vol.88
, Issue.2
, pp. 303-338
-
-
Everingham, M.1
Gool, L.V.2
Williams, C.K.3
Winn, J.4
Zisserman, A.5
-
9
-
-
70450207704
-
Describing objects by their attributes
-
Farhadi, A., Endres, I., Hoiem, D., Forsyth, D.: Describing objects by their attributes. In: CVPR (2009)
-
(2009)
CVPR
-
-
Farhadi, A.1
Endres, I.2
Hoiem, D.3
Forsyth, D.4
-
10
-
-
34047174674
-
Learning generative visual models from few training examples: An incremental bayesian approach tested on 101 object categories
-
Fei-Fei, L., Fergus, R., Perona, P.: Learning generative visual models from few training examples: an incremental bayesian approach tested on 101 object categories. Comput. Vis. Image Underst. 106(1), 59-70 (2007)
-
(2007)
Comput. Vis. Image Underst
, vol.106
, Issue.1
, pp. 59-70
-
-
Fei-Fei, L.1
Fergus, R.2
Perona, P.3
-
11
-
-
84898798531
-
Unsupervised visual domain adaptation using subspace alignment
-
Fernando, B., Habrard, A., Sebban, M., Tuytelaars, T.: Unsupervised visual domain adaptation using subspace alignment. In: ICCV (2013)
-
(2013)
ICCV
-
-
Fernando, B.1
Habrard, A.2
Sebban, M.3
Tuytelaars, T.4
-
12
-
-
84897476317
-
Connecting the dots with landmarks: Discriminatively learning domain-invariant features for unsupervised domain adaptation
-
Gong, B., Grauman, K., Sha, F.: Connecting the dots with landmarks: discriminatively learning domain-invariant features for unsupervised domain adaptation. In: ICML (2013)
-
(2013)
ICML
-
-
Gong, B.1
Grauman, K.2
Sha, F.3
-
13
-
-
84866657270
-
Geodesic flow kernel for unsupervised domain adaptation
-
Gong, B., Shi, Y., Sha, F., Grauman, K.: Geodesic flow kernel for unsupervised domain adaptation. In: CVPR (2012)
-
(2012)
CVPR
-
-
Gong, B.1
Shi, Y.2
Sha, F.3
Grauman, K.4
-
14
-
-
84906352772
-
Multi-scale orderless pooling of deep convolutional activation features
-
Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.), LNCS, Springer, Heidelberg
-
Gong, Y., Wang, L., Guo, R., Lazebnik, S.: Multi-scale orderless pooling of deep convolutional activation features. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) ECCV 2014, Part VII. LNCS, vol. 8695, pp. 392-407. Springer, Heidelberg (2014)
-
(2014)
ECCV 2014
, vol.8695
, pp. 392-407
-
-
Gong, Y.1
Wang, L.2
Guo, R.3
Lazebnik, S.4
-
15
-
-
34948904828
-
-
Technical report UCB/CSD-04-1366, California Institue of Technology
-
Griffin, G., Holub, A., Perona, P.: Caltech 256 object category dataset. Technical report UCB/CSD-04-1366, California Institue of Technology (2007)
-
(2007)
Caltech 256 Object Category Dataset
-
-
Griffin, G.1
Holub, A.2
Perona, P.3
-
16
-
-
84924803045
-
LSDA: Large scale detection through adaptation
-
Hoffman, J., Guadarrama, S., Tzeng, E., Hu, R., Donahue, J., Girshick, R., Darrell, T., Saenko, K.: LSDA: Large scale detection through adaptation. In: NIPS (2014)
-
(2014)
NIPS
-
-
Hoffman, J.1
Guadarrama, S.2
Tzeng, E.3
Hu, R.4
Donahue, J.5
Girshick, R.6
Darrell, T.7
Saenko, K.8
-
17
-
-
84867851066
-
Discovering latent domains for multisource domain adaptation
-
Fitzgibbon, A., Lazebnik, S., Perona, P., Sato, Y., Schmid, C. (eds.), LNCS, Springer, Heidelberg
-
Hoffman, J., Kulis, B., Darrell, T., Saenko, K.: Discovering latent domains for multisource domain adaptation. In: Fitzgibbon, A., Lazebnik, S., Perona, P., Sato, Y., Schmid, C. (eds.) ECCV 2012, Part II. LNCS, vol. 7573, pp. 702-715. Springer, Heidelberg (2012)
-
(2012)
ECCV 2012
, vol.7573
, pp. 702-715
-
-
Hoffman, J.1
Kulis, B.2
Darrell, T.3
Saenko, K.4
-
18
-
-
85083954273
-
-
Hoffman, J., Tzeng, E., Donahue, J., Jia, Y., Saenko, K., Darrell, T.: One-shot adaptation of supervised deep convolutional models (2014)
-
(2014)
One-Shot Adaptation of Supervised Deep Convolutional Models
-
-
Hoffman, J.1
Tzeng, E.2
Donahue, J.3
Jia, Y.4
Saenko, K.5
Darrell, T.6
-
19
-
-
84867852273
-
Undoing the damage of dataset bias
-
Fitzgibbon, A., Lazebnik, S., Perona, P., Sato, Y., Schmid, C. (eds.), LNCS, Springer, Heidelberg
-
Khosla, A., Zhou, T., Malisiewicz, T., Efros, A.A., Torralba, A.: Undoing the damage of dataset bias. In: Fitzgibbon, A., Lazebnik, S., Perona, P., Sato, Y., Schmid, C. (eds.) ECCV 2012, Part I. LNCS, vol. 7572, pp. 158-171. Springer, Heidelberg (2012)
-
(2012)
ECCV 2012
, vol.7572
, pp. 158-171
-
-
Khosla, A.1
Zhou, T.2
Malisiewicz, T.3
Efros, A.A.4
Torralba, A.5
-
21
-
-
84455168545
-
A large-scale hierarchical multi-view rgb-d object dataset
-
Lai, K., Bo, L., Ren, X., Fox, D.: A large-scale hierarchical multi-view rgb-d object dataset. In: ICRA (2011)
-
(2011)
ICRA
-
-
Lai, K.1
Bo, L.2
Ren, X.3
Fox, D.4
-
22
-
-
70450172710
-
Learning to detect unseen object classes by between class attribute transfer
-
Lampert, C.H., Nickisch, H., Harmeling, S.: Learning to detect unseen object classes by between class attribute transfer. In: CVPR (2009)
-
(2009)
CVPR
-
-
Lampert, C.H.1
Nickisch, H.2
Harmeling, S.3
-
23
-
-
0042441074
-
Analyzing appearance and contour based methods for object categorization
-
Leibe, B., Schiele, B.: Analyzing appearance and contour based methods for object categorization. In: CVPR (2003)
-
(2003)
CVPR
-
-
Leibe, B.1
Schiele, B.2
-
24
-
-
0033284915
-
Object recognition from local scale-invariant features
-
Lowe, D.G.: Object recognition from local scale-invariant features. In: ICCV (1999)
-
(1999)
ICCV
-
-
Lowe, D.G.1
-
25
-
-
84952343541
-
-
Microsoft.: Microsoft Research Cambridge Object Recognition Image Database (2005). http://research.microsoft.com/en-us/downloads/ b94de342-60dc-45d0-830b-f6eff91b301/default.aspx
-
-
-
-
26
-
-
84911449395
-
Learning and transferring mid-level image representations using convolutional neural networks
-
Oquab, M., Bottou, L., Laptev, I., Sivic, J.: Learning and transferring mid-level image representations using convolutional neural networks. In: CVPR (2014)
-
(2014)
CVPR
-
-
Oquab, M.1
Bottou, L.2
Laptev, I.3
Sivic, J.4
-
27
-
-
84906506420
-
-
arXiv
-
Razavian, A.S., Azizpour, H., Sullivan, J., Carlsson, S.: CNN Features off-the-shelf: an Astounding Baseline for Recognition (2014). arXiv:1403.6382
-
(2014)
CNN Features Off-The-Shelf: An Astounding Baseline for Recognition
, vol.1403
, pp. 6382
-
-
Razavian, A.S.1
Azizpour, H.2
Sullivan, J.3
Carlsson, S.4
-
28
-
-
84909978410
-
-
arXiv
-
Russakovsky, O., Deng, J., Su, H., Krause, J., Satheesh, S., Ma, S., Huang, Z., Karpathy, A., Khosla, A., Bernstein, M., Berg, A.C., Fei-Fei, L.: ImageNet large scale visual recognition challenge (2014). arXiv:1409.0575
-
(2014)
Imagenet Large Scale Visual Recognition Challenge
, vol.1409
, pp. 0575
-
-
Russakovsky, O.1
Deng, J.2
Su, H.3
Krause, J.4
Satheesh, S.5
Ma, S.6
Huang, Z.7
Karpathy, A.8
Khosla, A.9
Bernstein, M.10
Berg, A.C.11
Fei-Fei, L.12
-
29
-
-
84947041871
-
ImageNet Large Scale Visual Recognition Challenge
-
Russakovsky, O., Deng, J., Su, H., Krause, J., Satheesh, S., Ma, S., Huang, Z., Karpathy, A., Khosla, A., Bernstein, M., Berg, A.C., Fei-Fei, L.: ImageNet Large Scale Visual Recognition Challenge. Int. J. Comput. Vis. (IJCV), 1-42 (2015). doi:10.1007/s11263-015-0816-y
-
(2015)
Int. J. Comput. Vis. (IJCV)
, pp. 1-42
-
-
Russakovsky, O.1
Deng, J.2
Su, H.3
Krause, J.4
Satheesh, S.5
Ma, S.6
Huang, Z.7
Karpathy, A.8
Khosla, A.9
Bernstein, M.10
Berg, A.C.11
Fei-Fei, L.12
-
31
-
-
78149318752
-
-
Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010, Springer, Heidelberg
-
Saenko, K., Kulis, B., Fritz, M., Darrell, T.: Adapting visual category models to new domains. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010, Part 4. LNCS, vol. 6314, pp. 213-226. Springer, Heidelberg (2010)
-
(2010)
Adapting Visual Category Models to New Domains
, vol.6314
, pp. 213-226
-
-
Saenko, K.1
Kulis, B.2
Fritz, M.3
Darrell, T.4
-
32
-
-
85083951635
-
Overfeat: Integrated recognition, localization and detection using convolutional networks
-
Sermanet, P., Eigen, D., Zhang, X., Mathieu, M., Fergus, R., LeCun, Y.: Overfeat: integrated recognition, localization and detection using convolutional networks. In: ICLR (2014)
-
(2014)
ICLR
-
-
Sermanet, P.1
Eigen, D.2
Zhang, X.3
Mathieu, M.4
Fergus, R.5
Lecun, Y.6
-
33
-
-
84928793915
-
A testbed for cross-dataset analysis
-
Agapito, L., Bronstein, M.M., Rother, C. (eds.), LNCS, Springer, Heidelberg
-
Tommasi, T., Tuytelaars, T.: A testbed for cross-dataset analysis. In: Agapito, L., Bronstein, M.M., Rother, C. (eds.) ECCV 2014 Workshops. LNCS, vol. 8927, pp. 18-31. Springer, Heidelberg (2015)
-
(2015)
ECCV 2014 Workshops
, vol.8927
, pp. 18-31
-
-
Tommasi, T.1
Tuytelaars, T.2
-
34
-
-
80052908300
-
Unbiased look at dataset bias
-
Torralba, A., Efros, A.A.: Unbiased look at dataset bias. In: CVPR (2011)
-
(2011)
CVPR
-
-
Torralba, A.1
Efros, A.A.2
-
35
-
-
78149355981
-
Efficient object category recognition using classemes
-
Daniilidis, K., Maragos, P., Paragios, N. (eds.), LNCS, Springer, Heidelberg
-
Torresani, L., Szummer, M., Fitzgibbon, A.: Efficient object category recognition using classemes. In: Daniilidis, K., Maragos, P., Paragios, N. (eds.) ECCV 2010, Part I. LNCS, vol. 6311, pp. 776-789. Springer, Heidelberg (2010)
-
(2010)
ECCV 2010
, vol.6311
, pp. 776-789
-
-
Torresani, L.1
Szummer, M.2
Fitzgibbon, A.3
-
36
-
-
77955988947
-
Sun database: Large-scale scene recognition from abbey to zoo
-
Xiao, J., Hays, J., Ehinger, K.A., Oliva, A., Torralba, A.: Sun database: large-scale scene recognition from abbey to zoo. In: CVPR (2010)
-
(2010)
CVPR
-
-
Xiao, J.1
Hays, J.2
Ehinger, K.A.3
Oliva, A.4
Torralba, A.5
-
37
-
-
84906489074
-
Visualizing and understanding convolutional networks
-
Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.), LNCS, Springer, Heidelberg
-
Zeiler, M.D., Fergus, R.: Visualizing and understanding convolutional networks. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) ECCV 2014, Part I. LNCS, vol. 8689, pp. 818-833. Springer, Heidelberg (2014)
-
(2014)
ECCV 2014
, vol.8689
, pp. 818-833
-
-
Zeiler, M.D.1
Fergus, R.2
-
38
-
-
84906514027
-
Part-based R-CNNs for finegrained category detection
-
Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.), LNCS, Springer, Heidelberg
-
Zhang, N., Donahue, J., Girshick, R., Darrell, T.: Part-based R-CNNs for finegrained category detection. In: Fleet, D., Pajdla, T., Schiele, B., Tuytelaars, T. (eds.) ECCV 2014, Part I. LNCS, vol. 8689, pp. 834-849. Springer, Heidelberg (2014)
-
(2014)
ECCV 2014
, vol.8689
, pp. 834-849
-
-
Zhang, N.1
Donahue, J.2
Girshick, R.3
Darrell, T.4
|