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We propose a novel framework called Semantics-Preserving Adversarial Embedding Network (SP-AEN) for zero-shot visual recognition (ZSL), where test images and their classes are both unseen during training.
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Describing objects by their attributes
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Learning to detect unseen object classes by between-class attribute transfer
C. H. Lampert, H. Nickisch, and S. Harmeling · 2009
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Object bank: A high-level image representation for scene classification & semantic feature sparsification
L.-J. Li, H. Su, L. Fei-Fei, and E. P. Xing · 2010
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Efficient object category recognition using classemes
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Caltech-ucsd birds 200
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Large scale image annotation: learning to rank with joint word-image embeddings
J. Weston, S. Bengio, and N. Usunier · 2010
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Imagenet classification with deep convolutional neural networks
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Sun attribute database: Discovering, annotating, and recognizing scene attributes
G. Patterson and J. Hays · 2012
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Label-embedding for attribute-based classification
Z. Akata, F. Perronnin, Z. Harchaoui, and C. Schmid · 2013
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Write a classifier: Zero-shot learning using purely textual descriptions
M. Elhoseiny, B. Saleh, and A. Elgammal · 2013
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Devise: A deep visual-semantic embedding model
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Distributed representations of words and phrases and their compositionality
T. Mikolov, I. Sutskever, K. Chen, G. S. Corrado, and J. Dean · 2013
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Zero-shot learning through cross-modal transfer
R. Socher, M. Ganjoo, C. D. Manning, and A. Ng · 2013
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Attribute-augmented semantic hierarchy: towards bridging semantic gap and intention gap in image retrieval
H. Zhang, Z.-J. Zha, Y. Yang, S. Yan, Y. Gao, and T.-S. Chua · 2013
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Generative adversarial nets
I. Goodfellow, J. Pouget-Abadie, M. Mirza, B. Xu, D. Warde-Farley, S. Ozair, A. Courville, and Y. Bengio · 2014
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Zero-shot learning by convex combination of semantic embeddings
M. Norouzi, T. Mikolov, S. Bengio, Y. Singer, J. Shlens, A. Frome, G. S. Corrado, and J. Dean · 2014
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Glove: Global vectors for word representation
J. Pennington, R. Socher, and C. Manning · 2014
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Visualizing and understanding convolutional networks
M. D. Zeiler and R. Fergus · 2014
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Evaluation of output embeddings for fine-grained image classification
Z. Akata, S. Reed, D. Walter, H. Lee, and B. Schiele · 2015
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Transductive multi-view zero-shot learning
Y. Fu, T. M. Hospedales, T. Xiang, and S. Gong · 2015
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Texture synthesis using convolutional neural networks
L. Gatys, A. S. Ecker, and M. Bethge · 2015
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Delving deep into rectifiers: Surpassing human-level performance on imagenet classification
K. He, X. Zhang, S. Ren, and J. Sun · 2015
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Predicting deep zero-shot convolutional neural networks using textual descriptions
J. Lei Ba, K. Swersky, S. Fidler, et al · 2015
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An embarrassingly simple approach to zero-shot learning
B. Romera-Paredes and P. Torr · 2015
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Imagenet large scale visual recognition challenge
O. Russakovsky, J. Deng, H. Su, J. Krause, S. Satheesh, S. Ma, Z. Huang, A. Karpathy, A. Khosla, M. Bernstein, et al · 2015
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Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 2015
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Zero-shot learning via semantic similarity embedding
Z. Zhang and V. Saligrama · 2015
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Label-embedding for image classification
Z. Akata, F. Perronnin, Z. Harchaoui, and C. Schmid · 2016
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Learning discriminative latent attributes for zero-shot classification
H. Jiang, R. Wang, S. Shan, Y. Yang, and X. Chen · 2017
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Learning to discover cross-domain relations with generative adversarial networks
T. Kim, M. Cha, H. Kim, J. Lee, and J. Kim · 2017
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Semantic autoencoder for zero-shot learning
E. Kodirov, T. Xiang, and S. Gong · 2017
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Photo-realistic single image super-resolution using a generative adversarial network
C. Ledig, L. Theis, F. Huszár, J. Caballero, A. Cunningham, A. Acosta, A. Aitken, A. Tejani, J. Totz, Z. Wang, et al · 2017
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Zero-shot recognition using dual visual-semantic mapping paths
Y. Li, D. Wang, H. Hu, Y. Lin, and Y. Zhuang · 2017
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Hierarchical clustering multi-task learning for joint human action grouping and recognition
A.-A. Liu, Y.-T. Su, W.-Z. Nie, and M. Kankanhalli · 2017
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Super-resolution with deep convolutional sufficient statistics
J. Bruna, P. Sprechmann, and Y. LeCun · 2016
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Synthesized classifiers for zero-shot learning
S. Changpinyo, W.-L. Chao, B. Gong, and F. Sha · 2016
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An empirical study and analysis of generalized zero-shot learning for object recognition in the wild
W.-L. Chao, S. Changpinyo, B. Gong, and F. Sha · 2016
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Generating images with perceptual similarity metrics based on deep networks
A. Dosovitskiy and T. Brox · 2016
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Dual learning for machine translation
D. He, Y. Xia, T. Qin, L. Wang, N. Yu, T. Liu, and W.-Y. Ma · 2016
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Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
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Pose guided person image generation
L. Ma, X. Jia, Q. Sun, B. Schiele, T. Tuytelaars, and L. Van Gool · 2017
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A generative model for zero shot learning using conditional variational autoencoders
A. Mishra, M. Reddy, A. Mittal, and H. A. Murthy · 2017
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Semantically consistent regularization for zero-shot recognition
P. Morgado and N. Vasconcelos · 2017
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Unified deep supervised domain adaptation and generalization
S. Motiian, M. Piccirilli, D. A. Adjeroh, and G. Doretto · 2017
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Plug & play generative networks: Conditional iterative generation of images in latent space
A. Nguyen, J. Yosinski, Y. Bengio, A. Dosovitskiy, and J. Clune · 2017
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Feaboost: Joint feature and label refinement for semantic segmentation
Y. Niu, Z. Lu, S. Huang, X. Gao, and J.-R. Wen · 2017
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Open set domain adaptation
P. Panareda Busto and J. Gall · 2017
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Video visual relation detection
X. Shang, T. Ren, J. Guo, H. Zhang, and T.-S. Chua · 2017
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Adversarial discriminative domain adaptation
E. Tzeng, J. Hoffman, K. Saenko, and T. Darrell · 2017
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Zero-shot learning-the good, the bad and the ugly
Y. Xian, B. Schiele, and Z. Akata · 2017
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Video question answering via attribute-augmented attention network learning
Y. Ye, Z. Zhao, Y. Li, L. Chen, J. Xiao, and Y. Zhuang · 2017
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Dualgan: Unsupervised dual learning for image-to-image translation
Z. Yi, H. Zhang, P. T. Gong, et al · 2017
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Visual translation embedding network for visual relation detection
H. Zhang, Z. Kyaw, S.-F. Chang, and T.-S. Chua · 2017
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Stackgan: Text to photo-realistic image synthesis with stacked generative adversarial networks
H. Zhang, T. Xu, H. Li, S. Zhang, X. Huang, X. Wang, and D. Metaxas · 2017
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Unpaired image-to-image translation using cycle-consistent adversarial networks
J.-Y. Zhu, T. Park, P. Isola, and A. A. Efros · 2017
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Disentangled person image generation
L. Ma, Q. Sun, S. Georgoulis, L. Van Gool, B. Schiele, and M. Fritz · 2018
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Natural and effective obfuscation by head inpainting
Q. Sun, L. Ma, S. J. Oh, L. Van Gool, B. Schiele, and M. Fritz · 2018
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