Zero-Shot Learning

Learning Semantic Relationships for Better Action Retrieval in Images CVPR 2015 Max-Margin Zero-Shot Learning for Multi-class Classification AISTATS 2015 Objects2action: Classifying and Localizing Actions Without Any Video Example ICCV 2015 Predicting Deep Zero-Shot Convolutional Neural Networks Using Textual Descriptions ICCV 2015 Prediction of Search Targets From Fixations in Open-World Settings CVPR 2015 Semi-Supervised Zero-Shot Classification With Label Representation Learning ICCV 2015 Towards Open World Recognition CVPR 2015 Zero-Shot Object Recognition by Semantic Manifold Distance CVPR 2015 COSTA: Co-Occurrence Statistics for Zero-Shot Classification CVPR 2014 Linear Ranking Analysis CVPR 2014 One-Shot-Learning Gesture Recognition using HOG-HOF Features JMLR 2014 Predicting Failures of Vision Systems CVPR 2014 Predicting Multiple Attributes via Relative Multi-task Learning CVPR 2014 Zero-shot Event Detection using Multi-modal Fusion of Weakly Supervised Concepts CVPR 2014 Zero-shot recognition with unreliable attributes NeurIPS 2014 Attribute-Based Detection of Unfamiliar Classes with Humans in the Loop CVPR 2013 Attribute Dominance: What Pops Out? ICCV 2013 A Unified Probabilistic Approach Modeling Relationships between Attributes and Objects ICCV 2013 Designing Category-Level Attributes for Discriminative Visual Recognition CVPR 2013 DeViSE: A Deep Visual-Semantic Embedding Model NeurIPS 2013 Enriching Texture Analysis with Semantic Data CVPR 2013 Label-Embedding for Attribute-Based Classification CVPR 2013 One-shot Learning Gesture Recognition from RGB-D Data Using Bag of Features JMLR 2013 Spoken Attributes: Mixing Binary and Relative Attributes to Say the Right Thing ICCV 2013 Transfer Learning in a Transductive Setting NeurIPS 2013