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Open Vocabulary Attribute Detection

Open-Vocabulary Attribute Detection (OVAD) is a task that aims to detect and recognize an open set of objects and their associated attributes in an image. The objects and attributes are defined by text queries during inference, without prior knowledge of the tested classes during training.

Papers

Showing 1114 of 14 papers

TitleStatusHype
Open-vocabulary Attribute DetectionCode1
Open-Vocabulary Object Detection Using CaptionsCode1
Compositional Caching for Training-free Open-vocabulary Attribute Detection0
LOWA: Localize Objects in the Wild with Attributes0
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