ViLD distills region and text embeddings from a teacher vision-language model into a student detector, enabling open-vocabulary detection that outperforms supervised baselines on held-out rare classes in LVIS and transfers to COCO, VOC, and Objects365.
Technical report: A good box is not a guarantee of a good mask.Joint COCO and LVIS workshop at ECCV 2020: LVIS Challenge Track
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Open-vocabulary Object Detection via Vision and Language Knowledge Distillation
ViLD distills region and text embeddings from a teacher vision-language model into a student detector, enabling open-vocabulary detection that outperforms supervised baselines on held-out rare classes in LVIS and transfers to COCO, VOC, and Objects365.