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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 21–30 of 57 papers

TitleStatusHype
Multimodal Data Curation via Object Detection and Filter Ensembles—0
SeeDS: Semantic Separable Diffusion Synthesizer for Zero-shot Food DetectionCode1
Zero-Shot Visual Classification with Guided Cropping—0
ViLLA: Fine-Grained Vision-Language Representation Learning from Real-World DataCode1
Meta-ZSDETR: Zero-shot DETR with Meta-learning—0
Scaling Open-Vocabulary Object DetectionCode0
Multi-modal Queried Object Detection in the WildCode2
DoUnseen: Tuning-Free Class-Adaptive Object Detection of Unseen Objects for Robotic GraspingCode1
ZBS: Zero-shot Background Subtraction via Instance-level Background Modeling and Foreground SelectionCode1
Efficient Feature Distillation for Zero-shot Annotation Object DetectionCode0
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