We designed a fast NAS method for object detection. The discovered architecture surpasses state-of-the-art object detection models
(such as Faster R-CNN, RetinaNet and FCOS) by 1 to 1.9 points in AP on the COCO dataset.
Related paper:
√ N. Wang, Y. Gao, H. Chen, P. Wang, Z. Tian, C. Shen, Y. Zhang. NAS-FCOS: Fast Neural Architecture Search for Object Detection. In: CVPR, 2020. model