GithubHelp home page GithubHelp logo

tchigher / iccv19-gluoncv Goto Github PK

View Code? Open in Web Editor NEW

This project forked from zhreshold/iccv19-gluoncv

0.0 0.0 0.0 278.27 MB

Tutorial Materials for ICCV19

Home Page: https://iccv19.mxnet.io

License: Apache License 2.0

Jupyter Notebook 99.61% Python 0.28% Makefile 0.01% CSS 0.07% HTML 0.01% Shell 0.03%

iccv19-gluoncv's Introduction

ICCV 2019 Tutorial: Everything You Need to Know to Reproduce SOTA Deep Learning Models

Time: Sunday, October 27, 2019. Half Day - AM (0800-1215)
Location: Auditorium, [COEX Convention Center](https://goo.gl/maps/VKDgLyYf8NDC1e4E6)

Presenter: Zhi Zhang, Sam Skalicky, Muhyun Kim, Jiyang Kang

AWS Icon   AmazonAI Icon   Neo Icon   Apache Incubator Icon   MXNet Icon   Gluon Icon   TVM Icon

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(Free instance available) link
8:15-8:40 Introduction to MXNet and GluonCV link,link
8:40-9:00 Deep Learning and Gluon Basics (NDArray, AutoGrad, Libraries) link,link
9:00-9:30 Bag of Tricks for Image Classification (ResNet, MobileNet, Inception) link link
9:30-10:00 Bag of Freebies for Object Detectors (SSD, Faster RCNN, YOLOV3) link link
10:00-10:30 Semantic segmentation algorithms (FCN, PSPNet, DeepLabV3, VPLR) link link
10:30-11:00 Pose Estimation(SimplePose, AlphaPose) link link
11:00-11:30 Action Recognition(TSN, I3D) link
11:30-12:00 Painless Deployment (C++, TVM) link link,link
12:00-12:15 Q&A and Closing

Q&A

Q1: How do I setup the environments for this tutorial?

A1: There will be all-in-one AWS SageMaker notebooks available for all local attendees, you need to bring your laptop and have a working email to access the notebooks.

Q2: How do I setup the environment in SageMaker after this tutorial?

A2: You can use lifetime-config to create sagemaker notebook instance using this lifetime-config. Make sure you have more than 30G disk space for the new notebook instance.

Organizers

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

iccv19-gluoncv's People

Contributors

zhreshold avatar zhanghang1989 avatar hetong007 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.