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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 31–40 of 57 papers

TitleStatusHype
Scaling Open-Vocabulary Object DetectionCode0
Towards a Multi-Agent Vision-Language System for Zero-Shot Novel Hazardous Object Detection for Autonomous Driving SafetyCode0
From Node to Graph: Joint Reasoning on Visual-Semantic Relational Graph for Zero-Shot DetectionCode0
Efficient Feature Distillation for Zero-shot Annotation Object DetectionCode0
GTNet: Generative Transfer Network for Zero-Shot Object DetectionCode0
No Annotations for Object Detection in Art through Stable DiffusionCode0
Zero-Shot Object Detection: Learning to Simultaneously Recognize and Localize Novel ConceptsCode0
Gaussian Splatting Under Attack: Investigating Adversarial Noise in 3D ObjectsCode0
Synthesizing Knowledge-enhanced Features for Real-world Zero-shot Food DetectionCode0
Zero-shot detection of daily objects in YCB video dataset—0
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