Guided CNN for generalized zero-shot and open-set recognition using visual and semantic prototypes

[1]  Hanze Dong,et al.  Vocabulary-Informed Zero-Shot and Open-Set Learning , 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[2]  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).

[3]  Zhihui Li,et al.  Zero-shot event detection via event-adaptive concept relevance mining , 2019, Pattern Recognit..

[4]  Chunping Hou,et al.  Open-set human activity recognition based on micro-Doppler signatures , 2019, Pattern Recognit..

[5]  Ling Shao,et al.  Dual-verification network for zero-shot learning , 2019, Inf. Sci..

[6]  Ling Shao,et al.  Triple Verification Network for Generalized Zero-Shot Learning , 2019, IEEE Transactions on Image Processing.

[7]  Gal Chechik,et al.  Adaptive Confidence Smoothing for Generalized Zero-Shot Learning , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[8]  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).

[9]  Songcan Chen,et al.  Recent Advances in Open Set Recognition: A Survey , 2018, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[10]  Zhongfei Zhang,et al.  Bi-Adversarial Auto-Encoder for Zero-Shot Learning , 2018, ArXiv.

[11]  Venkatesh Saligrama,et al.  Generalized Zero-Shot Recognition Based on Visually Semantic Embedding , 2018, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

[12]  Xirong Li,et al.  Dissimilarity Representation Learning for Generalized Zero-Shot Recognition , 2018, ACM Multimedia.

[13]  Heng Tao Shen,et al.  Pseudo Transfer with Marginalized Corrupted Attribute for Zero-shot Learning , 2018, ACM Multimedia.

[14]  Sung Ju Hwang,et al.  Learning to Separate Domains in Generalized Zero-Shot and Open Set Learning: a probabilistic perspective , 2018, ArXiv.

[15]  Hongguang Zhang,et al.  Model Selection for Generalized Zero-shot Learning , 2018, ECCV Workshops.

[16]  Gustavo Carneiro,et al.  Multi-modal Cycle-consistent Generalized Zero-Shot Learning , 2018, ECCV.

[17]  Shiguang Shan,et al.  Learning Class Prototypes via Structure Alignment for Zero-Shot Recognition , 2018, ECCV.

[18]  Ling Shao,et al.  Zero Shot Learning via Low-rank Embedded Semantic AutoEncoder , 2018, IJCAI.

[19]  Bin Wang,et al.  Implicit Non-linear Similarity Scoring for Recognizing Unseen Classes , 2018, IJCAI.

[20]  Fei Yin,et al.  Robust Classification with Convolutional Prototype Learning , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

[21]  Soma Biswas,et al.  Preserving Semantic Relations for Zero-Shot Learning , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

[22]  Hongguang Zhang,et al.  Zero-Shot Kernel Learning , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

[23]  Piyush Rai,et al.  Generalized Zero-Shot Learning via Synthesized Examples , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

[24]  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.

[25]  Bernt Schiele,et al.  Feature Generating Networks for Zero-Shot Learning , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

[26]  Tao Xiang,et al.  Learning to Compare: Relation Network for Few-Shot Learning , 2017, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.

[27]  Christoph H. Lampert,et al.  Zero-Shot Learning—A Comprehensive Evaluation of the Good, the Bad and the Ugly , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[28]  Fatih Porikli,et al.  A Unified Approach for Conventional Zero-Shot, Generalized Zero-Shot, and Few-Shot Learning , 2017, IEEE Transactions on Image Processing.

[29]  Shaogang Gong,et al.  Semantic Autoencoder for Zero-Shot Learning , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[30]  Richard S. Zemel,et al.  Prototypical Networks for Few-shot Learning , 2017, NIPS.

[31]  Ian J. Goodfellow,et al.  NIPS 2016 Tutorial: Generative Adversarial Networks , 2016, ArXiv.

[32]  Tao Xiang,et al.  Learning a Deep Embedding Model for Zero-Shot Learning , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[33]  Wei-Lun Chao,et al.  An Empirical Study and Analysis of Generalized Zero-Shot Learning for Object Recognition in the Wild , 2016, ECCV.

[34]  Yanwei Fu,et al.  Semi-supervised Vocabulary-Informed Learning , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[35]  Bernt Schiele,et al.  Latent Embeddings for Zero-Shot Classification , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[36]  Gernot A. Fink,et al.  Open-vocabulary recognition of machine-printed Arabic text using hidden Markov models , 2016, Pattern Recognit..

[37]  Jian Sun,et al.  Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).

[38]  Venkatesh Saligrama,et al.  Zero-Shot Learning via Semantic Similarity Embedding , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

[39]  Philip H. S. Torr,et al.  An embarrassingly simple approach to zero-shot learning , 2015, ICML.

[40]  Sanja Fidler,et al.  Predicting Deep Zero-Shot Convolutional Neural Networks Using Textual Descriptions , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).

[41]  Michael S. Bernstein,et al.  ImageNet Large Scale Visual Recognition Challenge , 2014, International Journal of Computer Vision.

[42]  Dragomir Anguelov,et al.  Capturing Long-Tail Distributions of Object Subcategories , 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition.

[43]  Marc'Aurelio Ranzato,et al.  DeViSE: A Deep Visual-Semantic Embedding Model , 2013, NIPS.

[44]  Anderson Rocha,et al.  Toward Open Set Recognition , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.

[45]  Andrew Y. Ng,et al.  Zero-Shot Learning Through Cross-Modal Transfer , 2013, NIPS.

[46]  Michael I. Jordan,et al.  Generalized Zero-Shot Learning with Deep Calibration Network , 2018, NeurIPS.

[47]  Christoph H. Lampert,et al.  Attribute-Based Classification for Zero-Shot Visual Object Categorization , 2022 .