SlowGuess/NeurIPS_2023_OCR huggingface dataset:
Our method can help better train models for efficient panoptic segmentation. It can also be used to develop new applications in areas such as autonomous driving, robotics, and augmented reality. For example, in autonomous driving, efficient panoptic segmentation can be used to identify and track other vehicles, pedestrians, and obstacles on the road. This information can be used to help the car navigate safely. In robotics, efficient panoptic segmentation can be used to help robots understand their surroundings and avoid obstacles. This information can be used to help robots perform tasks such as picking and placing objects or navigating through cluttered environments. In augmented reality, efficient panoptic segmentation can be used to overlay digital information on top of the real world. This information can be used to provide users with information about their surroundings or to help them with tasks such as finding their way around a new city. Overall, our method can be used to boost a variety of applications in the field of computer vision and robotics.