You will be shown an excerpt from a computer science scientific research paper, followed by a question about the paper. Please answer the question. Do not include any text in your response other than the answer.

Context: Finally, we show that the image features learned by NASNets are generically useful and transfer to other computer vision problems. In our experiments, the features learned by NASNets from ImageNet classification can be combined with the Faster-RCNN framework [47] to achieve state-of-the-art on COCO object detection task for both the largest as well as mobile-optimized models. Our largest NASNet model achieves 43.1% mAP, which is 4% better than previous state-of-the-art. 

Question: Which framework achieved state-of-the-art COCO object detection results with NASNets?
Faster-RCNN framework along with the features learned by NASNets from ImageNet achieved state-of-the-art COCO object detection results with NASNets.