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[1] James Hays,et al. SUN attribute database: Discovering, annotating, and recognizing scene attributes , 2012, 2012 IEEE Conference on Computer Vision and Pattern Recognition.
[2] Michael I. Jordan,et al. Generalized Zero-Shot Learning with Deep Calibration Network , 2018, NeurIPS.
[3] Wei-Lun Chao,et al. Predicting Visual Exemplars of Unseen Classes for Zero-Shot Learning , 2016, 2017 IEEE International Conference on Computer Vision (ICCV).
[4] Dat T. Huynh,et al. Fine-Grained Generalized Zero-Shot Learning via Dense Attribute-Based Attention , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[5] Jiebo Luo,et al. Self-Supervised Domain-Aware Generative Network for Generalized Zero-Shot Learning , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[6] Jon Kleinberg,et al. Transfusion: Understanding Transfer Learning for Medical Imaging , 2019, NeurIPS.
[7] Yanan Li,et al. Zero-Shot Recognition Using Dual Visual-Semantic Mapping Paths , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[8] Xiaobo Jin,et al. Attentive Region Embedding Network for Zero-Shot Learning , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[9] Christoph H. Lampert,et al. Learning to detect unseen object classes by between-class attribute transfer , 2009, 2009 IEEE Conference on Computer Vision and Pattern Recognition.
[10] Bernt Schiele,et al. Feature Generating Networks for Zero-Shot Learning , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[11] Venkatesh Saligrama,et al. Zero-Shot Learning via Joint Latent Similarity Embedding , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[12] Piyush Rai,et al. Generalized Zero-Shot Learning via Synthesized Examples , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[13] Gal Chechik,et al. Adaptive Confidence Smoothing for Generalized Zero-Shot Learning , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[14] Marc'Aurelio Ranzato,et al. DeViSE: A Deep Visual-Semantic Embedding Model , 2013, NIPS.
[15] Nanning Zheng,et al. Compressing Unknown Images With Product Quantizer for Efficient Zero-Shot Classification , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[16] Narayanan C. Krishnan,et al. Semantically Aligned Bias Reducing Zero Shot Learning , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[17] Yoshua Bengio,et al. Zero-data Learning of New Tasks , 2008, AAAI.
[18] Yun Fu,et al. Rethinking Zero-Shot Learning: A Conditional Visual Classification Perspective , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[19] L. Shao,et al. Generalized Zero-Shot Learning With Multiple Graph Adaptive Generative Networks , 2021, IEEE Transactions on Neural Networks and Learning Systems.
[20] Max Welling,et al. Auto-Encoding Variational Bayes , 2013, ICLR.
[21] Ramazan Gokberk Cinbis,et al. Gradient Matching Generative Networks for Zero-Shot Learning , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[22] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[23] Bernt Schiele,et al. F-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[24] Geoffrey E. Hinton,et al. Visualizing Data using t-SNE , 2008 .
[25] Yu Qiao,et al. A Discriminative Feature Learning Approach for Deep Face Recognition , 2016, ECCV.
[26] Ling Shao,et al. Region Graph Embedding Network for Zero-Shot Learning , 2020, ECCV.
[27] Zhengming Ding,et al. Marginalized Latent Semantic Encoder for Zero-Shot Learning , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[28] Cordelia Schmid,et al. Label-Embedding for Image Classification , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[29] Jian Yang,et al. Learning the Redundancy-Free Features for Generalized Zero-Shot Object Recognition , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[30] Alexei A. Efros,et al. Unbiased look at dataset bias , 2011, CVPR 2011.
[31] Yi Yang,et al. Exploring Semantic Inter-Class Relationships (SIR) for Zero-Shot Action Recognition , 2015, AAAI.
[32] Ivan Laptev,et al. Learning and Transferring Mid-level Image Representations Using Convolutional Neural Networks , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.
[33] Philip S. Yu,et al. Generative Dual Adversarial Network for Generalized Zero-Shot Learning , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[34] James Philbin,et al. FaceNet: A unified embedding for face recognition and clustering , 2015, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[35] Kimin Lee,et al. Using Pre-Training Can Improve Model Robustness and Uncertainty , 2019, ICML.
[36] Stefano Soatto,et al. Rethinking the Hyperparameters for Fine-tuning , 2020, ICLR.
[37] Wei Liu,et al. Zero-Shot Visual Recognition Using Semantics-Preserving Adversarial Embedding Networks , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[38] Shiguang Shan,et al. Transferable Contrastive Network for Generalized Zero-Shot Learning , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[39] Christoph H. Lampert,et al. Attribute-Based Classification for Zero-Shot Visual Object Categorization , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[40] Andrew Zisserman,et al. Automated Flower Classification over a Large Number of Classes , 2008, 2008 Sixth Indian Conference on Computer Vision, Graphics & Image Processing.
[41] Bernt Schiele,et al. Zero-Shot Learning — The Good, the Bad and the Ugly , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[42] Sethuraman Panchanathan,et al. Leveraging Seen and Unseen Semantic Relationships for Generative Zero-Shot Learning , 2020, ECCV.
[43] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[44] Alexei A. Efros,et al. Undoing the Damage of Dataset Bias , 2012, ECCV.
[45] Bernt Schiele,et al. Evaluation of output embeddings for fine-grained image classification , 2014, 2015 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[46] Zi Huang,et al. Leveraging the Invariant Side of Generative Zero-Shot Learning , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[47] Ling Shao,et al. VMAN: A Virtual Mainstay Alignment Network for Transductive Zero-Shot Learning , 2021, IEEE Transactions on Image Processing.
[48] Yoshua Bengio,et al. Generative Adversarial Nets , 2014, NIPS.
[49] Geoffrey E. Hinton,et al. Zero-shot Learning with Semantic Output Codes , 2009, NIPS.
[50] Trevor Darrell,et al. Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[51] Fei Zhang,et al. Co-Representation Network for Generalized Zero-Shot Learning , 2019, ICML.
[52] Yang Liu,et al. Graph and Autoencoder Based Feature Extraction for Zero-shot Learning , 2019, IJCAI.
[53] Mayank Vatsa,et al. Generalized Zero-Shot Learning via Over-Complete Distribution , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[54] Ke Chen,et al. Zero-Shot Visual Recognition via Bidirectional Latent Embedding , 2016, International Journal of Computer Vision.
[55] Bernt Schiele,et al. Learning Deep Representations of Fine-Grained Visual Descriptions , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[56] Fahad Shahbaz Khan,et al. Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification , 2020, ECCV.
[57] Frédéric Jurie,et al. Generating Visual Representations for Zero-Shot Classification , 2017, 2017 IEEE International Conference on Computer Vision Workshops (ICCVW).
[58] Bernt Schiele,et al. Latent Embeddings for Zero-Shot Classification , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[59] Nanning Zheng,et al. A Boundary Based Out-of-Distribution Classifier for Generalized Zero-Shot Learning , 2020, ECCV.
[60] Hyeonwoo Yu,et al. Zero-shot Learning via Simultaneous Generating and Learning , 2019, NeurIPS.
[61] Wei-Lun Chao,et al. Synthesized Classifiers for Zero-Shot Learning , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[62] Pietro Perona,et al. Caltech-UCSD Birds 200 , 2010 .
[63] Yongdong Zhang,et al. Domain-Aware Visual Bias Eliminating for Generalized Zero-Shot Learning , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[64] Yunlong Yu,et al. Episode-Based Prototype Generating Network for Zero-Shot Learning , 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[65] Hema A. Murthy,et al. A Generative Model for Zero Shot Learning Using Conditional Variational Autoencoders , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[66] Jie Qin,et al. Invertible Zero-Shot Recognition Flows , 2020, ECCV.