Attribute-Based Classification for Zero-Shot Visual Object Categorization

Artículos que citan Attribute-Based Classification for Zero-Shot Visual Object Categorization

Título / Autor	Año
CNN features off-the-shelf: an astounding baseline for recognition A Sharif Razavian, H Azizpour, J Sullivan, S Carlsson Proceedings of the IEEE conference on computer vision and pattern …	2014
Generative adversarial text to image synthesis S Reed, Z Akata, X Yan, L Logeswaran, B Schiele, H Lee arXiv preprint arXiv:1605.05396	2016
An embarrassingly simple approach to zero-shot learning B Romera-Paredes, P Torr International Conference on Machine Learning, 2152-2161	2015
Deep metric learning via lifted structured feature embedding H Oh Song, Y Xiang, S Jegelka, S Savarese Proceedings of the IEEE Conference on Computer Vision and Pattern …	2016
Evaluation of output embeddings for fine-grained image classification Z Akata, S Reed, D Walter, H Lee, B Schiele Proceedings of the IEEE Conference on Computer Vision and Pattern …	2015
Synthesized classifiers for zero-shot learning S Changpinyo, WL Chao, B Gong, F Sha Proceedings of the IEEE Conference on Computer Vision and Pattern …	2016
Zero-shot learning via semantic similarity embedding Z Zhang, V Saligrama Proceedings of the IEEE international conference on computer vision, 4166-4174	2015
Learning deep representations of fine-grained visual descriptions S Reed, Z Akata, H Lee, B Schiele Proceedings of the IEEE Conference on Computer Vision and Pattern …	2016
Latent embeddings for zero-shot classification Y Xian, Z Akata, G Sharma, Q Nguyen, M Hein, B Schiele Proceedings of the IEEE Conference on Computer Vision and Pattern …	2016
Zero-shot learning-the good, the bad and the ugly Y Xian, B Schiele, Z Akata Proceedings of the IEEE Conference on Computer Vision and Pattern …	2017
icarl: Incremental classifier and representation learning SA Rebuffi, A Kolesnikov, G Sperl, CH Lampert Proceedings of the IEEE conference on Computer Vision and Pattern …	2017
Transductive multi-view zero-shot learning Y Fu, TM Hospedales, T Xiang, S Gong IEEE transactions on pattern analysis and machine intelligence 37 (11), 2332 …	2015
Generating visual explanations LA Hendricks, Z Akata, M Rohrbach, J Donahue, B Schiele, T Darrell European Conference on Computer Vision, 3-19	2016
Zero-shot learning via joint latent similarity embedding Z Zhang, V Saligrama Proceedings of the IEEE Conference on Computer Vision and Pattern …	2016
Unsupervised domain adaptation for zero-shot learning E Kodirov, T Xiang, Z Fu, S Gong Proceedings of the IEEE international conference on computer vision, 2452-2460	2015
Zero-shot recognition with unreliable attributes D Jayaraman, K Grauman Advances in neural information processing systems, 3464-3472	2014
Semantic autoencoder for zero-shot learning E Kodirov, T Xiang, S Gong Proceedings of the IEEE Conference on Computer Vision and Pattern …	2017
Learning to compare: Relation network for few-shot learning F Sung, Y Yang, L Zhang, T Xiang, PHS Torr, TM Hospedales Proceedings of the IEEE Conference on Computer Vision and Pattern …	2018
Transductive multi-view embedding for zero-shot recognition and annotation Y Fu, TM Hospedales, T Xiang, Z Fu, S Gong European conference on computer vision, 584-599	2014
Low-shot visual recognition by shrinking and hallucinating features B Hariharan, R Girshick Proceedings of the IEEE International Conference on Computer Vision, 3018-3027	2017

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