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 See also Zero-Shot Learning on Semantic Class Prototype Graph. 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

Luo, C., Li, Z., Huang, K., Feng, J., Wang, M.,
Zero-Shot Learning via Attribute Regression and Class Prototype Rectification,
IP(27), No. 2, February 2018, pp. 637-648.
IEEE DOI 1712
Linear programming, Manifolds, Prototypes, Semantics, Supervised learning, Testing, Training, Zero-shot learning, transfer knowledge BibRef

Sumbul, G., Cinbis, R.G., Aksoy, S.,
Fine-Grained Object Recognition and Zero-Shot Learning in Remote Sensing Imagery,
GeoRS(56), No. 2, February 2018, pp. 770-779.
IEEE DOI 1802
Data models, Feature extraction, Object recognition, Remote sensing, Spatial resolution, Training, zero-shot learning (ZSL) BibRef

Lu, J.[Jiang], Li, J.[Jin], Yan, Z.[Ziang], Mei, F.H.[Feng-Hua], Zhang, C.S.[Chang-Shui],
Attribute-Based Synthetic Network (ABS-Net): Learning more from pseudo feature representations,
PR(80), 2018, pp. 129-142.
Elsevier DOI 1805
Pseudo feature representation, Zero-shot learning, Supervised learning, Data augmentation, Attribute learning BibRef

Long, T.[Teng], Xu, X.[Xing], Shen, F.[Fumin], Liu, L.[Li], Xie, N.[Ning], Yang, Y.[Yang],
Zero-shot learning via discriminative representation extraction,
PRL(109), 2018, pp. 27-34.
Elsevier DOI 1806
Zero shot learning, Large margin, Aggregation, Representation learning BibRef

Qiao, L.F.[Ling-Feng], Tuo, H.[Hongya], Wang, J.[Jiexin], Wang, C.[Chao], Jing, Z.L.[Zhong-Liang],
Joint attribute chain prediction for zero-shot learning,
IET-CV(12), No. 6, September 2018, pp. 873-881.
DOI Link 1808
BibRef

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


Cao, X.H., Obradovic, Z., Kim, K.,
A Simple yet Effective Model for Zero-Shot Learning,
WACV18(766-774)
IEEE DOI 1806
computer vision, image classification, image representation, learning (artificial intelligence), baseline models, Training BibRef

Liu, Q.L.[Qiu-Li], Li, Z.C.[Ze-Chao], Tang, J.H.[Jin-Hui],
Learning discriminative supplementary features to attributes for novel-category classification,
VCIP17(1-4)
IEEE DOI 1804
category theory, image classification, image representation, learning (artificial intelligence), Supplementary Feature BibRef

Xue, N., Wang, Y., Fan, X., Min, M.,
Incremental zero-shot learning based on attributes for image classification,
ICIP17(850-854)
IEEE DOI 1803
Linear matrix inequalities, Matrix decomposition, Object recognition, Pattern recognition, Software, zero-shot BibRef

Jia, Z., Zhang, J., Huang, K., Tan, T.,
Encyclopedia enhanced semantic embedding for zero-shot learning,
ICIP17(1287-1291)
IEEE DOI 1803
Encyclopedias, Mathematical model, Prototypes, Semantics, Task analysis, Training, image classification, zero-shot learning BibRef

Hariharan, B.[Bharath], Girshick, R.[Ross],
Low-Shot Visual Recognition by Shrinking and Hallucinating Features,
ICCV17(3037-3046)
IEEE DOI 1802
Recognize categories from very few examples. image recognition, learning (artificial intelligence), object recognition, feature hallucination, feature shrinking, Visualization BibRef

Zhao, B., Wu, B., Wu, T., Wang, Y.,
Zero-Shot Learning Posed as a Missing Data Problem,
TASKCV17(2616-2622)
IEEE DOI 1802
Animals, Feature extraction, Gaussian distribution, Manifolds, Training, Training data, Upper bound BibRef

Jiang, H., Wang, R., Shan, S., Yang, Y., Chen, X.,
Learning Discriminative Latent Attributes for Zero-Shot Classification,
ICCV17(4233-4242)
IEEE DOI 1802
image classification, image representation, learning (artificial intelligence), object recognition, ZSL task, Visualization BibRef

Demirel, B., Cinbis, R.G., Ikizler-Cinbis, N.,
Attributes2Classname: A Discriminative Model for Attribute-Based Unsupervised Zero-Shot Learning,
ICCV17(1241-1250)
IEEE DOI 1802
feature extraction, image annotation, learning (artificial intelligence), text analysis, vectors, Visualization 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.M.,
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

Changpinyo, S.[Soravit], Chao, W.L.[Wei-Lun], Sha, F.[Fei],
Predicting Visual Exemplars of Unseen Classes for Zero-Shot Learning,
ICCV17(3496-3505)
IEEE DOI 1802
learning (artificial intelligence), object detection, object recognition, class semantic descriptions, Visualization 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

Jurie, F.[Frédéric], Bucher, M.[Maxime], Herbin, S.[Stéphane],
Generating Visual Representations for Zero-Shot Classification,
TASKCV17(2666-2673)
IEEE DOI 1802
BibRef
Earlier: A2, A3, A1:
Improving Semantic Embedding Consistency by Metric Learning for Zero-Shot Classiffication,
ECCV16(V: 730-746).
Springer DOI 1611
BibRef
And: A2, A3, A1:
Hard Negative Mining for Metric Learning Based Zero-Shot Classification,
TASKCV16(III: 524-531).
Springer DOI 1611
Data models, Generators, Gold, Semantics, Training, Visualization 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:Aug 16, 2018 at 18:22:30