【17-14期VALSE Webinar活动】

 

报告嘉宾：赵恒爽 (The Chinese University of Hong Kong)

报告时间：2017年7月12日（星期三）晚上21:00（北京时间）

报告题目：PSPNet and ICNet: Semantic Segmentation with High Accuracy and High Efficiency

主持人：郭裕兰（国防科技大学）

报告摘要：

In this talk, I will introduce our focuses on two major criteria in semantic segmentation task, the inference performance on accuracy and efficiency aspects. First, to build a high accuracy framework, we exploit the capability of global context information by different-region-based context aggregation through our pyramid pooling module, the proposed pyramid scene parsing network (PSPNet) is effective to deal with unrestricted open vocabulary and diverse scenes. Second, to establish a high efficiency system, we propose image cascade network (ICNet), it incorporates multi-resolution branches under proper label guidance together with cascade feature fusion unit to speed up the network prediction. PSPNet sets up new records on various datasets and it won first place in ImageNet scene parsing challenge 2016, ICNet yields real-time inference speed on high resolution images which is beneficial for many practical applications.

参考文献：

[1] Pyramid Scene Parsing Network. Hengshuang Zhao, Jianping Shi, Xiaojuan Qi, Xiaogang Wang, Jiaya Jia. CVPR 2017.

[2] ICNet for Real-Time Semantic Segmentation on High-Resolution Images. Hengshuang Zhao, Xiaojuan Qi, Xiaoyong Shen, Jianping Shi, Jiaya Jia. arXiv:1704.08545, 2017.

报告人简介：

Hengshuang Zhao is currently a second year Ph.D. student in Computer Science at The Chinese University of Hong Kong, supervised by Prof. Jiaya Jia. His research interests lie in computer vision and deep learning. He was a recipient of Microsoft-IEEE Young Fellow Scholarship Award. He and his team won 1st place in ImageNet Scene Parsing Challenge 2016.

特别鸣谢本次Webinar主要组织者：

VOOC责任委员：郭裕兰（国防科技大学）

VODB协调理事：邓成（西安电子科技大学）

活动参与方式：

1、VALSE Webinar活动全部网上依托VALSE QQ群的“群视频”功能在线进行，活动时讲者会上传PPT或共享屏幕，听众可以看到Slides，听到讲者的语音，并通过文字或语音与讲者交互；

2、为参加活动，需加入VALSE QQ群，目前A、B、C、D、E群已满，除讲者等嘉宾外，只能申请加入VALSE F群，群号：594312623 。申请加入时需验证姓名、单位和身份，缺一不可。入群后，请实名，姓名身份单位。身份：学校及科研单位人员T；企业研发I；博士D；硕士M

3、为参加活动，请下载安装Windows QQ最新版，群视频不支持非Windows的系统，如Mac，Linux等，手机QQ可以听语音，但不能看视频slides；

4、在活动开始前10分钟左右，主持人会开启群视频，并发送邀请各群群友加入的链接，参加者直接点击进入即可；

5、活动过程中，请勿送花、棒棒糖等道具，也不要说无关话语，以免影响活动正常进行；

6、活动过程中，如出现听不到或看不到视频等问题，建议退出再重新进入，一般都能解决问题；

7、建议务必在速度较快的网络上参加活动，优先采用有线网络连接。