Salience Biased Loss for Object Detection in Aerial Images

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.

Object object-detection +1

MUFold-SS: Protein Secondary Structure Prediction Using Deep Inception-Inside-Inception Networks

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.

Image Classification Protein Secondary Structure Prediction