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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
Robust Region Feature Synthesizer for Zero-Shot Object DetectionCode1
SeeDS: Semantic Separable Diffusion Synthesizer for Zero-shot Food DetectionCode1
Background Learnable Cascade for Zero-Shot Object DetectionCode1
Zero-Shot Object Detection by Hybrid Region EmbeddingCode1
Synthesizing the Unseen for Zero-shot Object DetectionCode1
DetToolChain: A New Prompting Paradigm to Unleash Detection Ability of MLLMCode1
ViLLA: Fine-Grained Vision-Language Representation Learning from Real-World DataCode1
Zero-Shot Instance SegmentationCode1
Open-vocabulary Object Detection via Vision and Language Knowledge DistillationCode1
LangGas: Introducing Language in Selective Zero-Shot Background Subtraction for Semi-Transparent Gas Leak Detection with a New DatasetCode1
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