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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
A Survey of Deep Learning for Low-Shot Object Detection—0
Many Heads but One Brain: Fusion Brain -- a Competition and a Single Multimodal Multitask ArchitectureCode1
Zero-shot detection of daily objects in YCB video dataset—0
Zero-shot Object Detection Through Vision-Language Embedding AlignmentCode1
Semantics-Guided Contrastive Network for Zero-Shot Object detection—0
Learning Open-World Object Proposals without Learning to ClassifyCode1
Open-vocabulary Object Detection via Vision and Language Knowledge DistillationCode1
Zero-Shot Instance SegmentationCode1
Synthesizing the Unseen for Zero-shot Object DetectionCode1
Background Learnable Cascade for Zero-Shot Object DetectionCode1
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