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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 11–20 of 57 papers

TitleStatusHype
Bridging the Gap between Object and Image-level Representations for Open-Vocabulary DetectionCode2
Grounded Language-Image Pre-trainingCode2
LangGas: Introducing Language in Selective Zero-Shot Background Subtraction for Semi-Transparent Gas Leak Detection with a New DatasetCode1
OV-DQUO: Open-Vocabulary DETR with Denoising Text Query Training and Open-World Unknown Objects SupervisionCode1
DetToolChain: A New Prompting Paradigm to Unleash Detection Ability of MLLMCode1
SeeDS: Semantic Separable Diffusion Synthesizer for Zero-shot Food DetectionCode1
ViLLA: Fine-Grained Vision-Language Representation Learning from Real-World DataCode1
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
Resolving Semantic Confusions for Improved Zero-Shot DetectionCode1
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