RO-ViT: Region-aware pre-training for open-vocabulary object detection with vision transformers

The ability to detect objects in the visual world is crucial for computer vision and machine intelligence, enabling applications like adaptive autonomous agents and versatile shopping systems. However, modern object detectors are limited by the manual annotations of their training data, resulting in a vocabulary size significantly smaller than the vast array of objects encountered in reality. To overcome this, the open-vocabulary detection task (OVD) has emerged, utilizing image-text pairs …

agents annotations applications autonomous autonomous agents computer computer vision cvpr detection enabling google intelligence machine machine intelligence modern multimodal learning objects pre-training research scientists shopping systems training transformers vision vision transformers vit world