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Found 4 papers, 1 papers with code
Dual Expert Distillation Network for Generalized Zero-Shot Learning
Zero-shot learning has consistently yielded remarkable progress via modeling nuanced one-to-one visual-attribute correlation.
Fine-Grained Zero-Shot Learning: Advances, Challenges, and Prospects
To enrich the literature of this domain and provide a sound basis for its future development, in this paper, we present a broad review of recent advances for fine-grained analysis in ZSL.
Attribute-Aware Representation Rectification for Generalized Zero-Shot Learning
In this paper, we propose a simple yet effective Attribute-Aware Representation Rectification framework for GZSL, dubbed $\mathbf{(AR)^{2}}$, to adaptively rectify the feature extractor to learn novel features while keeping original valuable features.
SRCD: Semantic Reasoning with Compound Domains for Single-Domain Generalized Object Detection
In this paper, we introduce Semantic Reasoning with Compound Domains (SRCD) for Single-DGOD.
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Robust Object Detection
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