no code implementations • 18 Oct 2018 • Peng Sun, Guang Chen, Guerdan Luke, Yi Shang
Experimental results show our proposed loss function with the RetinaNet architecture outperformed other state-of-art object detection models by at least 4. 31 mAP, and RetinaNet by 2. 26 mAP with the same inference speed of RetinaNet.
no code implementations • 12 Sep 2017 • Chao Fang, Yi Shang, Dong Xu
Results: Here, a very deep neural network, the deep inception-inside-inception networks (Deep3I), is proposed for protein secondary structure prediction and a software tool was implemented using this network.