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Official implementation of the paper 'Grounding DINO: Marrying DINO with Grounded Pre-Training for Open-Set Object Detection'.
GLIGEN is an open-source library for grounded text-to-image generation, enabling developers to create AI-powered image generation models.
A curated list of papers and resources on open set recognition, out-of-distribution detection, and open world recognition.
A next-generation object detection model that can detect anything with high accuracy and efficiency.
A powerful open-world object detection model for computer vision tasks, leveraging the DINO framework.
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