Zero-Shot Learning—A Comprehensive Evaluation of the Good, the Bad and the Ugly
Yongqin Xian, Christoph H. Lampert, Bernt Schiele, Zeynep Akata
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- [No title in the source record — Edinburgh Research Explorer (University of Edinburgh)]→Zero-Shot Learning—A Comprehensive Evaluation of the Good, the Bad and the UglyLegacy edge — source detail unavailable
- Zero-Shot Learning—A Comprehensive Evaluation of the Good, the Bad and the Ugly→Glove: Global Vectors for Word RepresentationLegacy edge — source detail unavailable
- Zero-Shot Learning—A Comprehensive Evaluation of the Good, the Bad and the Ugly→Distributed Representations of Words and Phrases and their CompositionalityLegacy edge — source detail unavailable
- Zero-Shot Learning—A Comprehensive Evaluation of the Good, the Bad and the Ugly→WordNetLegacy edge — source detail unavailable
- Zero-Shot Learning—A Comprehensive Evaluation of the Good, the Bad and the Ugly→Semi-Supervised LearningLegacy edge — source detail unavailable
- Zero-Shot Learning—A Comprehensive Evaluation of the Good, the Bad and the Ugly→Learning with Local and Global ConsistencyLegacy edge — source detail unavailable
- Zero-Shot Learning—A Comprehensive Evaluation of the Good, the Bad and the Ugly→DeCAF: A Deep Convolutional Activation Feature for Generic Visual RecognitionLegacy edge — source detail unavailable
- Zero-Shot Learning—A Comprehensive Evaluation of the Good, the Bad and the Ugly→DeViSE: A Deep Visual-Semantic Embedding ModelLegacy edge — source detail unavailable
- Zero-Shot Learning—A Comprehensive Evaluation of the Good, the Bad and the Ugly→Large Margin Methods for Structured and Interdependent Output VariablesLegacy edge — source detail unavailable
- Zero-Shot Learning—A Comprehensive Evaluation of the Good, the Bad and the Ugly→Describing objects by their attributesLegacy edge — source detail unavailable
- Zero-Shot Learning—A Comprehensive Evaluation of the Good, the Bad and the Ugly→DeCAF: A Deep Convolutional Activation Feature for Generic Visual\n RecognitionLegacy edge — source detail unavailable
- Zero-Shot Learning—A Comprehensive Evaluation of the Good, the Bad and the Ugly→Attribute-Based Classification for Zero-Shot Visual Object CategorizationLegacy edge — source detail unavailable
- Zero-Shot Learning—A Comprehensive Evaluation of the Good, the Bad and the Ugly→Toward Open Set RecognitionLegacy edge — source detail unavailable
- Semi-Supervised Learning→Learning with Local and Global ConsistencyLegacy edge — source detail unavailable
- DeViSE: A Deep Visual-Semantic Embedding Model→Distributed Representations of Words and Phrases and their CompositionalityLegacy edge — source detail unavailable
- Attribute-Based Classification for Zero-Shot Visual Object Categorization→Describing objects by their attributesLegacy edge — source detail unavailable
- Attribute-Based Classification for Zero-Shot Visual Object Categorization→Toward Open Set RecognitionLegacy edge — source detail unavailable
- Glove: Global Vectors for Word Representation→Distributed Representations of Words and Phrases and their CompositionalityLegacy edge — source detail unavailable
- [No title in the source record — Edinburgh Research Explorer (University of Edinburgh)]→DeViSE: A Deep Visual-Semantic Embedding ModelLegacy edge — source detail unavailable
- [No title in the source record — Edinburgh Research Explorer (University of Edinburgh)]→Attribute-Based Classification for Zero-Shot Visual Object CategorizationLegacy edge — source detail unavailable
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| Domain Adaptation and Few-Shot Learning | Computer Science |
| Multimodal Machine Learning Applications | Computer Science |
| COVID-19 diagnosis using AI | Medicine |
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