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Zero-Shot Object Detection

Zero-shot object detection (ZSD) is the task of object detection where no visual training data is available for some of the target object classes.

( Image credit: Zero-Shot Object Detection: Learning to Simultaneously Recognize and Localize Novel Concepts )

Papers

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Showing 41–50 of 57 papers

TitleStatusHype
Multimodal Data Curation via Object Detection and Filter Ensembles—0
Zero-Shot Visual Classification with Guided Cropping—0
Meta-ZSDETR: Zero-shot DETR with Meta-learning—0
Scaling Open-Vocabulary Object DetectionCode0
Efficient Feature Distillation for Zero-shot Annotation Object DetectionCode0
Frustratingly Simple but Effective Zero-shot Detection and Segmentation: Analysis and a Strong Baseline—0
Multi-Modal Few-Shot Object Detection with Meta-Learning-Based Cross-Modal Prompting—0
On Hyperbolic Embeddings in 2D Object Detection—0
From Node to Graph: Joint Reasoning on Visual-Semantic Relational Graph for Zero-Shot DetectionCode0
A Survey of Deep Learning for Low-Shot Object Detection—0
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