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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
Segment Anything Model for automated image data annotation: empirical studies using text prompts from Grounding DINO—0
Semantics-Guided Contrastive Network for Zero-Shot Object detection—0
The Power of One: A Single Example is All it Takes for Segmentation in VLMs—0
Transductive Learning for Zero-Shot Object Detection—0
UniFa: A unified feature hallucination framework for any-shot object detection—0
A Survey of Deep Learning for Low-Shot Object Detection—0
Zero-Shot Object Detection—0
Zero-Shot Visual Classification with Guided Cropping—0
No Annotations for Object Detection in Art through Stable DiffusionCode0
Zero-Shot Object Detection: Learning to Simultaneously Recognize and Localize Novel ConceptsCode0
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