DAMO-YOLO : A Report on Real-Time Object Detection Design

In this report, we present a fast and accurate object detection method dubbed DAMO-YOLO, which achieves higher performance than the state-of-the-art YOLO series. DAMO-YOLO is extended from YOLO with some new technologies, including Neural Architecture Search (NAS), efficient Reparameterized Generalized-FPN (RepGFPN), a lightweight head with AlignedOTA label assignment, and distillation enhancement. 2022: Xianzhe Xu, Yiqi Jiang, Weihua Chen, Yi-Li Huang, Yuanhang Zhang, Xiuyu Sun Ranked #29 on Real-Time Object Detection on COCO https://arxiv.org/pdf/2211.15444v1.pdf