A practical walkthrough from Classification network to Semantic Segmentation, let's do it one pixel at a time.

Oct 2017

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7 Sat 09:00 AM – 10:00 AM IST

8 Sun 09:00 AM – 10:00 AM IST

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IIIT Hyderabad, Hyderabad

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Core Python and Python 3 features

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A practical walkthrough from Classification network to Semantic Segmentation, let's do it one pixel at a time.

Submitted Aug 24, 2017

Technical level: Intermediate

Semantic Segmentation of an image is to assign each pixel in the input image a semantic class in order to get a pixel-wise dense classification. While semantic segmentation/scene parsing has been a part of the computer vision community since late 2007, but much like other areas in computer vision, a major breakthrough came when fully convolutional neural networks were first used by 2014 Long et. al. to perform end-to-end segmentation of natural images. An introduction to classification network and how it can be seen/converted to a segmentation network i.e a fully-integrated segmentation workflow, allowing you to create image segmentation and analyze the output of a segmentation network.

Outline

I will walk through my experience and the problems faced when trying to make a state of the art industry-grade implementation. Some of the points I will try to cover.

-An intuitive introduction and visualization of the Convolution Neural Netowrk (the lifeline of Computer Vision).

-An explanation and small demo of Classification Network using PyTorch.

-Covering the bridge of Classification and Segmentation.

-A small demo of fully-integrated segmentation workflow, allowing you to create visualize and understand segmentation datasets and visualize the output of a segmentation network.

-Importance of data and problems faced by me working on Industry projects.

-Wrap up and project discussion.

Requirements

Zeal to learn new things would be enough but basic knowledge of Python would be good to go but the following are always encouraged:
- Basic Knowledge of algebra and Python Libraries such as Numpy
- Basic knowledge of working with Neural Network (not a strict requirement)

Speaker bio

I am presently working as Deep Learning Scientist at Predible Health, here, we have build state of the art segmentation network for liver, tumour and vessel segmentations.
I have spoken previously at Shri Mata Vaishno Devi University at their SFD celebrations and I have also proposed a talk at PyCon India and will be speaking at MuPy (Manipal Institute of Technology’s annual Python Conference) later this year. I have been a constant contributor in the open source world and have been attending PyCon and other conferences every year.
An athlete, a Real Madrid F.C follower and a part time stand-up comdedian (good enough to make you laugh). See you at PyCon.

PyConf Hyderabad 2017

Selected Talks for PyConf Hyderabad 2017 have been announced. Please Check the Confirmed Proposals section for the Selected Talks

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