14.1.4.4 Zero-Shot Learning

Chapter Contents (Back)
Small Sample Size. Zero-Shot Learning.

Fu, Y.W.[Yan-Wei], Hospedales, T.M., Xiang, T.[Tao], Gong, S.G.[Shao-Gang],
Transductive Multi-View Zero-Shot Learning,
PAMI(37), No. 11, November 2015, pp. 2332-2345.
IEEE DOI 1511
graph theory BibRef

Kodirov, E.[Elyor], Xiang, T.[Tao], Gong, S.G.[Shao-Gang],
Semantic Autoencoder for Zero-Shot Learning,
CVPR17(4447-4456)
IEEE DOI 1711
Computational modeling, Decoding, Image reconstruction, Semantics, Training, Visualization BibRef

Kodirov, E.[Elyor], Xiang, T.[Tao], Fu, Z.Y.[Zhen-Yong], Gong, S.G.[Shao-Gang],
Unsupervised Domain Adaptation for Zero-Shot Learning,
ICCV15(2452-2460)
IEEE DOI 1602
Adaptation models See also Dictionary Learning with Iterative Laplacian Regularisation for Unsupervised Person Re-identification. See also Learning Multimodal Latent Attributes. BibRef

Fu, Y.W.[Yan-Wei], Yang, Y.X.[Yong-Xin], Hospedales, T.M.[Tim M.], Xiang, T.[Tao], Gong, S.G.[Shao-Gang],
Transductive Multi-label Zero-shot Learning,
BMVC14(xx-yy).
HTML Version. 1410
See also Learning Multimodal Latent Attributes. BibRef

Xu, X.[Xun], Hospedales, T.M.[Timothy M.], Gong, S.G.[Shao-Gang],
Multi-Task Zero-Shot Action Recognition with Prioritised Data Augmentation,
ECCV16(II: 343-359).
Springer DOI 1611
BibRef

Fu, Y.W.[Yan-Wei], Hospedales, T.M.[Timothy M.], Xiang, T.[Tao], Fu, Z.Y.[Zhen-Yong], Gong, S.G.[Shao-Gang],
Transductive Multi-view Embedding for Zero-Shot Recognition and Annotation,
ECCV14(II: 584-599).
Springer DOI 1408
BibRef

Hoo, W.L.[Wai Lam], Chan, C.S.[Chee Seng],
Zero-Shot Object Recognition System Based on Topic Model,
HMS(45), No. 4, August 2015, pp. 518-525.
IEEE DOI 1506
BibRef
Earlier:
pLSA-based zero-shot learning,
ICIP13(4297-4301)
IEEE DOI 1402
Accuracy. Zero-shot learning; object detection; object recognition; pLSA BibRef

Cheng, Y.[Yuhu], Qiao, X.[Xue], Wang, X.[Xuesong],
An Improved Indirect Attribute Weighted Prediction Model for Zero-Shot Image Classification,
IEICE(E99-D), No. 2, February 2016, pp. 435-442.
WWW Link. 1604
BibRef

Wang, X., Chen, C., Cheng, Y.,
Zero-shot learning by exploiting class-related and attribute-related prior knowledge,
IET-CV(10), No. 6, 2016, pp. 483-492.
DOI Link 1609
data mining BibRef

Qin, J., Wang, Y., Liu, L., Chen, J., Shao, L.,
Beyond Semantic Attributes: Discrete Latent Attributes Learning for Zero-Shot Recognition,
SPLetters(23), No. 11, November 2016, pp. 1667-1671.
IEEE DOI 1609
image recognition BibRef

Qin, J., Liu, L., Shao, L., Shen, F., Ni, B., Chen, J., Wang, Y.,
Zero-Shot Action Recognition with Error-Correcting Output Codes,
CVPR17(1042-1051)
IEEE DOI 1711
Correlation, Data structures, Optimization, Pattern recognition, Robustness, Semantics, Visualization BibRef

Li, A., Lu, Z., Wang, L., Xiang, T., Wen, J.R.,
Zero-Shot Scene Classification for High Spatial Resolution Remote Sensing Images,
GeoRS(55), No. 7, July 2017, pp. 4157-4167.
IEEE DOI 1706
Birds, Image recognition, Remote sensing, Satellites, Semantics, Spatial resolution, Visualization, High spatial resolution (HSR) remote sensing images, scene classification, zero-shot, learning BibRef

Wang, Q.[Qian], Chen, K.[Ke],
Zero-Shot Visual Recognition via Bidirectional Latent Embedding,
IJCV(124), No. 3, September 2017, pp. 356-383.
Springer DOI 1708
BibRef

Elhoseiny, M.[Mohamed], Elgammal, A.M.[Ahmed M.], Saleh, B.[Babak],
Write a Classifier: Predicting Visual Classifiers from Unstructured Text,
PAMI(39), No. 12, December 2017, pp. 2539-2553.
IEEE DOI 1711
BibRef
Earlier: A1, A3, A2:
Write a Classifier: Zero-Shot Learning Using Purely Textual Descriptions,
ICCV13(2584-2591)
IEEE DOI 1403
Knowledge transfer, Noise measurement, Training, Visualization. Zero shot learning Use purely textual description of categories with no training images to learn visual classifiers. BibRef


Wang, P.[Peng], Liu, L.Q.[Ling-Qiao], Shen, C.H.[Chun-Hua], Huang, Z.[Zi], van den Hengel, A.J.[Anton J.], Shen, H.T.[Heng Tao],
Multi-attention Network for One Shot Learning,
CVPR17(6212-6220)
IEEE DOI 1711
Detectors, Feature extraction, Image recognition, Image representation, Semantics, Training, Visualization BibRef

Xu, X., Shen, F., Yang, Y., Zhang, D., Shen, H.T., Song, J.,
Matrix Tri-Factorization with Manifold Regularizations for Zero-Shot Learning,
CVPR17(2007-2016)
IEEE DOI 1711
Feature extraction, Manifolds, Matrix decomposition, Semantics, Training, Training data, Visualization BibRef

Morgado, P., Vasconcelos, N.,
Semantically Consistent Regularization for Zero-Shot Recognition,
CVPR17(2037-2046)
IEEE DOI 1711
Computational modeling, Image recognition, Pattern recognition, Semantics, Training, Visualization, Vocabulary BibRef

Xian, Y., Schiele, B., Akata, Z.,
Zero-Shot Learning: The Good, the Bad and the Ugly,
CVPR17(3077-3086)
IEEE DOI 1711
Benchmark testing, Feature extraction, Learning systems, Protocols, Semantics, Training BibRef

Li, Y., Wang, D., Hu, H., Lin, Y., Zhuang, Y.,
Zero-Shot Recognition Using Dual Visual-Semantic Mapping Paths,
CVPR17(5207-5215)
IEEE DOI 1711
Feature extraction, Machine learning, Manifolds, Optimization, Semantics, Testing BibRef

Deutsch, S., Kolouri, S., Kim, K., Owechko, Y., Soatto, S.,
Zero Shot Learning via Multi-scale Manifold Regularization,
CVPR17(5292-5299)
IEEE DOI 1711
Benchmark testing, Manifolds, Semantics, Training, Unsupervised learning, Visualization, Wavelet, domain BibRef

Long, Y., Liu, L., Shao, L., Shen, F., Ding, G., Han, J.,
From Zero-Shot Learning to Conventional Supervised Classification: Unseen Visual Data Synthesis,
CVPR17(6165-6174)
IEEE DOI 1711
Feature extraction, Predictive models, Semantics, Training, Visualization BibRef

Markowitz, J., Schmidt, A.C., Burlina, P.M., Wang, I.J.,
Hierarchical zero-shot classification with convolutional neural network features and semantic attribute learning,
MVA17(194-197)
DOI Link 1708
Buildings, Neural networks, Organizations, Semantics, Support vector machines, Training, Training, data BibRef

Long, Y., Shao, L.,
Describing Unseen Classes by Exemplars: Zero-Shot Learning Using Grouped Simile Ensemble,
WACV17(907-915)
IEEE DOI 1609
Benchmark testing, Feature extraction, Image color analysis, Semantics, Shape, Training, Visualization BibRef

Naha, S., Wang, Y.,
Object figure-ground segmentation using zero-shot learning,
ICPR16(2842-2847)
IEEE DOI 1705
Image segmentation, Knowledge transfer, Object segmentation, Semantics, Standards, Training, Visualization BibRef

Dolma, Y.[Yeshi], Namboodiri, V.P.[Vinay P.],
Using Gaussian Processes to Improve Zero-Shot Learning with Relative Attributes,
ACCV16(V: 150-164).
Springer DOI 1704
BibRef

Li, H.H.[Han-Hui], Wu, H.F.[He-Feng], Lin, S.J.[Shu-Jin], Lin, L.[Liang], Luo, X.N.[Xiao-Nan], Izquierdo, E.[Ebroul],
Boosting Zero-Shot Image Classification via Pairwise Relationship Learning,
ACCV16(I: 85-99).
Springer DOI 1704
BibRef

Xian, Y., Akata, Z.[Zeynep], Sharma, G., Nguyen, Q., Hein, M.[Matthias], Schiele, B.[Bernt],
Latent Embeddings for Zero-Shot Classification,
CVPR16(69-77)
IEEE DOI 1612
BibRef

Qiao, R., Liu, L., Shen, C., van den Hengel, A.J.[Anton J.],
Less is More: Zero-Shot Learning from Online Textual Documents with Noise Suppression,
CVPR16(2249-2257)
IEEE DOI 1612
BibRef

Al-Halah, Z., Stiefelhagen, R.,
Automatic Discovery, Association Estimation and Learning of Semantic Attributes for a Thousand Categories,
CVPR17(5112-5121)
IEEE DOI 1711
Data models, Estimation, Predictive models, Semantics, Visualization, Vocabulary BibRef

Al-Halah, Z., Tapaswi, M., Stiefelhagen, R.,
Recovering the Missing Link: Predicting Class-Attribute Associations for Unsupervised Zero-Shot Learning,
CVPR16(5975-5984)
IEEE DOI 1612
BibRef

Zhang, Y., Gong, B., Shah, M.,
Fast Zero-Shot Image Tagging,
CVPR16(5985-5994)
IEEE DOI 1612
BibRef

Akata, Z.[Zeynep], Malinowski, M., Fritz, M.[Mario], Schiele, B.[Bernt],
Multi-cue Zero-Shot Learning with Strong Supervision,
CVPR16(59-68)
IEEE DOI 1612
BibRef

Chao, W.L.[Wei-Lun], Changpinyo, S.[Soravit], Gong, B.[Boqing], Sha, F.[Fei],
An Empirical Study and Analysis of Generalized Zero-Shot Learning for Object Recognition in the Wild,
ECCV16(II: 52-68).
Springer DOI 1611
BibRef
Earlier: A2, A1, A3, A4:
Synthesized Classifiers for Zero-Shot Learning,
CVPR16(5327-5336)
IEEE DOI 1612
BibRef

Bucher, M.[Maxime], Herbin, S.[Stéphane], Jurie, F.[Frédéric],
Improving Semantic Embedding Consistency by Metric Learning for Zero-Shot Classiffication,
ECCV16(V: 730-746).
Springer DOI 1611
BibRef
And:
Hard Negative Mining for Metric Learning Based Zero-Shot Classification,
TASKCV16(III: 524-531).
Springer DOI 1611
BibRef

Qiao, L., Tuo, H., Fang, Z., Feng, P., Jing, Z.,
Joint probability estimation of attribute chain for zero-shot learning,
ICIP16(1863-1867)
IEEE DOI 1610
Classification algorithms BibRef

Ye, M., Guo, Y.,
Zero-Shot Classification with Discriminative Semantic Representation Learning,
CVPR17(5103-5111)
IEEE DOI 1711
Dictionaries, Encoding, Prototypes, Semantics, Sparse matrices, Training, Visualization BibRef

Li, X., Guo, Y., Schuurmans, D.,
Semi-Supervised Zero-Shot Classification with Label Representation Learning,
ICCV15(4211-4219)
IEEE DOI 1602
Adaptation models BibRef

Zhang, Z.M.[Zi-Ming], Saligrama, V.[Venkatesh],
Zero-Shot Learning via Joint Latent Similarity Embedding,
CVPR16(6034-6042)
IEEE DOI 1612
BibRef
And:
Zero-Shot Recognition via Structured Prediction,
ECCV16(VII: 533-548).
Springer DOI 1611
BibRef
Earlier:
Zero-Shot Learning via Semantic Similarity Embedding,
ICCV15(4166-4174)
IEEE DOI 1602
Benchmark testing See also PRISM: Person Reidentification via Structured Matching. BibRef

Yang, Y.X.[Yong-Xin], Hospedales, T.M.[Timothy M.],
Multivariate Regression on the Grassmannian for Predicting Novel Domains,
CVPR16(5071-5080)
IEEE DOI 1612
BibRef
Earlier:
Zero-Shot Domain Adaptation via Kernel Regression on the Grassmannian,
DIFF-CV15(xx-yy).
DOI Link 1601
BibRef

Naha, S.[Shujon], Wang, Y.[Yang],
Zero-Shot Object Recognition Using Semantic Label Vectors,
CRV15(94-100)
IEEE DOI 1507
Computer vision. Given images and training images, recognize another non-overlapping class with no training examples. BibRef

Fu, Z.Y.[Zhen-Yong], Xiang, T.A.[Tao A.], Kodirov, E.[Elyor], Gong, S.G.[Shao-Gang],
Zero-shot object recognition by semantic manifold distance,
CVPR15(2635-2644)
IEEE DOI 1510
BibRef

Al-Halah, Z.[Ziad], Stiefelhagen, R.[Rainer],
How to Transfer? Zero-Shot Object Recognition via Hierarchical Transfer of Semantic Attributes,
WACV15(837-843)
IEEE DOI 1503
Abstracts;Accuracy;Birds;Semantics;Testing;Training;Visualization BibRef

Jetley, S.[Saumya], Romera-Paredes, B.[Bernardino], Jayasumana, S.[Sadeep], Torr, P.H.S.[Philip H.S.],
Prototypical Priors: From Improving Classification to Zero-Shot Learning,
BMVC15(xx-yy).
DOI Link 1601
BibRef

Liu, L.C.[Liang-Chen], Wiliem, A.[Arnold], Chen, S.K.[Shao-Kang], Lovell, B.C.[Brian C.],
Automatic and quantitative evaluation of attribute discovery methods,
WACV16(1-9)
IEEE DOI 1606
BibRef
Earlier:
Automatic Image Attribute Selection for Zero-Shot Learning of Object Categories,
ICPR14(2619-2624)
IEEE DOI 1412
Binary codes. Animals BibRef

Antol, S.[Stanislaw], Agrawal, A.[Aishwarya], Lu, J.[Jiasen], Mitchell, M.[Margaret], Batra, D.[Dhruv], Zitnick, C.L.[C. Lawrence], Parikh, D.[Devi],
VQA: Visual Question Answering,
ICCV15(2425-2433)
IEEE DOI 1602
Cognition See also VQA: Visual Question Answering. BibRef

Antol, S.[Stanislaw], Zitnick, C.L.[C. Lawrence], Parikh, D.[Devi],
Zero-Shot Learning via Visual Abstraction,
ECCV14(IV: 401-416).
Springer DOI 1408
Categories described by text BibRef

Kankuekul, P.[Pichai], Kawewong, A.[Aram], Tangruamsub, S.[Sirinart], Hasegawa, O.[Osamu],
Online incremental attribute-based zero-shot learning,
CVPR12(3657-3664).
IEEE DOI 1208
BibRef

Chapter on Pattern Recognition, Clustering, Statistics, Grammars, Learning, Neural Nets, Genetic Algorithms continues in
Metric Learning .


Last update:Nov 18, 2017 at 20:56:18