jackcc / iccv19-gluoncv

Tutorial Material for ICCV19 Proposal

ICCV19 Seoul Tutorial : Everything You Need to Know to Reproduce SOTA Deep Learning Models from Hands-on Tutorial (Proposing)

Time: TBD

Location: TBD

Organizers: Hang Zhang, Tong He, Zhi Zhang, Zhongyue Zhang, Haibin Lin, Aston Zhang, Mu Li

Abstract

Deep Learning has become the de facto standard algorithm in computer vision. There are a surge amount of approaches being proposed every year for different tasks. Reproducing the complete system in every single detail can be problematic and time-consuming, especially for the beginners. Existing open-source implementations are typically not well-maintained and the code can be easily broken by the rapid updates of the deep learning frameworks. In this tutorial, we will walk through the technical details of the state-of-the-art (SOTA) algorithms in major computer vision tasks, and we also provide the code implementations and hands-on tutorials to reproduce the large-scale training in this tutorial.

Agenda

Time	Title	Slides	Notebooks
8:00-8:15	Welcome and AWS Setup	link	link
8:15-8:30	Deep Learning and Gluon Basics (NDArray, AutoGrad, Libraries)		link,link
8:30-9:30	Bags of Tricks for Image Classification (ResNet, MobileNet, Inception)	link	link
9:30-10:30	Understanding Object Detectors (SSD, Faster RCNN, YOLOV3)	link	link
10:30-11:30	Semantic segmentation algorithms (FCN, PSPNet, DeepLabV3)	link	link
11:30-12:00	Painless Deployment (C++, TVM)		link,link
12:00-12:15	Q&A and Closing