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Fast Zero-Shot Image Tagging

https://doi.org/10.1109/cvpr.2016.644

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Label correlation preserving visual-semantic joint embedding for multi-label zero-shot learning

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Zero-Shot Object Detection: Joint Recognition and Localization of Novel Concepts

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Generative Model for Zero-Shot Sketch-Based Image Retrieval

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Language-Driven Multi-Label Zero-Shot Learning with Semantic Granularity

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Multi-Label Zero-Shot Learning With Transfer-Aware Label Embedding Projection

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A Baseline for Multi-Label Image Classification Using an Ensemble of Deep Convolutional Neural Networks

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Multi-Modal Cooperative Distillation for Zero-Shot Multi-Label Classification

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A Versatile Multimodal Learning Framework for Zero-Shot Emotion Recognition

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A Unified Approach for Conventional Zero-Shot, Generalized Zero-Shot, and Few-Shot Learning

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Scalable Zero-Shot Learning via Binary Visual-Semantic Embeddings

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DAR-Prompt: Dynamic Regulation in Prompt Tuning for Multi-Label Zero-Shot Learning

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Multi-Label Generalized Zero Shot Chest X-Ray Classification by Combining Image-Text Information With Feature Disentanglement

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Probabilistic Semantic Retrieval for Surveillance Videos With Activity Graphs

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Deep0Tag : Deep Multiple Instance Learning for Zero-Shot Image Tagging

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Enhancing the Quality of Image Tagging Using a Visio-Textual Knowledge Base

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Automatic Tagging by Leveraging Visual and Annotated Features in Social Media

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Towards Unbiased Multi-Label Zero-Shot Learning With Pyramid and Semantic Attention

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Unleashing the Potential of Hierarchical Region Clues for Open-Vocabulary Multi-Label Classification

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The Emerging Trends of Multi-Label Learning

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Multi-Label Zero-Shot Learning Via Contrastive Label-Based Attention

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Multi-label Triplet Embeddings for Image Annotation from User-Generated Tags

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User-Aware Folk Popularity Rank

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Category-Specific Prompts for Animal Action Recognition with Pretrained Vision-Language Models

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GMCoT: a graph-augmented multimodal chain-of-thought reasoning framework for multi-label zero-shot learning

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