Alexey Gruzdev a.s.gruzdev@yandex€¦ · Alexey Gruzdev [email protected] January 27, 2017...
Transcript of Alexey Gruzdev a.s.gruzdev@yandex€¦ · Alexey Gruzdev [email protected] January 27, 2017...
Previous activitiesCurrent activities
Overview of what was investigated
Alexey [email protected]
January 27, 2017
Alexey Gruzdev Overview of what was investigated
Previous activitiesCurrent activities
Agenda
1 Previous activitiesObject DetectionSemantic SegmentationStyle TransferDiabetic Retinopathy Detection
2 Current activitiesReinforcement LearningDeep Reinforcement Learning
Alexey Gruzdev Overview of what was investigated
Previous activitiesCurrent activities
Object DetectionSemantic SegmentationStyle TransferDiabetic Retinopathy Detection
Object Detection problem formulation
Input: RGB or grayscale image
Task:
find all existing objects on the image
for each object, calculate ”accurate” bounding box
Alexey Gruzdev Overview of what was investigated
Previous activitiesCurrent activities
Object DetectionSemantic SegmentationStyle TransferDiabetic Retinopathy Detection
Datasets for Object Detection
PASCAL Visual Object Classes Challenge 2012
SUN: Large-scale Scene Recognition from Abbey to Zoo
ImageNet Large Scale Visual Recognition Challenge
Microsoft Common Objects in Context
Alexey Gruzdev Overview of what was investigated
Previous activitiesCurrent activities
Object DetectionSemantic SegmentationStyle TransferDiabetic Retinopathy Detection
Semantic Segmentation problem formulation
Input: RGB or grayscale image
Task:
label each pixel to particular class
Alexey Gruzdev Overview of what was investigated
Previous activitiesCurrent activities
Object DetectionSemantic SegmentationStyle TransferDiabetic Retinopathy Detection
Style Transfer
Alexey Gruzdev Overview of what was investigated
Previous activitiesCurrent activities
Object DetectionSemantic SegmentationStyle TransferDiabetic Retinopathy Detection
Diabetic Retinopathy Detection
Input data - set of training/testing images. For each trainingimage also known its class (the degree of severity)
Output data - A clinician has rated the presence of diabeticretinopathy in each image on a scale of 0 to 4, according to thefollowing scale:
0 - No DR
1 - Mild
2 - Moderate
3 - Severe
4 - Proliferative DR
Goal: - create algorithm, which is able to determine the degree ofseverety for input retina image.
Alexey Gruzdev Overview of what was investigated
Previous activitiesCurrent activities
Object DetectionSemantic SegmentationStyle TransferDiabetic Retinopathy Detection
Diabetic Retinopathy Detection
Alexey Gruzdev Overview of what was investigated
Previous activitiesCurrent activities
Object DetectionSemantic SegmentationStyle TransferDiabetic Retinopathy Detection
Diabetic Retinopathy Detection
Alexey Gruzdev Overview of what was investigated
Previous activitiesCurrent activities
Object DetectionSemantic SegmentationStyle TransferDiabetic Retinopathy Detection
Diabetic Retinopathy Detection
Alexey Gruzdev Overview of what was investigated
Previous activitiesCurrent activities
Object DetectionSemantic SegmentationStyle TransferDiabetic Retinopathy Detection
Diabetic Retinopathy Detection
Alexey Gruzdev Overview of what was investigated
Previous activitiesCurrent activities
Object DetectionSemantic SegmentationStyle TransferDiabetic Retinopathy Detection
Diabetic Retinopathy Detection
Alexey Gruzdev Overview of what was investigated
Previous activitiesCurrent activities
Reinforcement LearningDeep Reinforcement Learning
Reinforcement Learning
Alexey Gruzdev Overview of what was investigated
Previous activitiesCurrent activities
Reinforcement LearningDeep Reinforcement Learning
Deep Reinforcement Learning
Motivation:
Deep means that at least one function is approximated byDeep Neural Network
Reinforcement Learning is useful for robotics, continuouscontrol, decision making
Data is available. Thanks to OpenAI!
Alexey Gruzdev Overview of what was investigated
Previous activitiesCurrent activities
Reinforcement LearningDeep Reinforcement Learning
Questions?
Alexey Gruzdev Overview of what was investigated
Previous activitiesCurrent activities
Reinforcement LearningDeep Reinforcement Learning
Alexey Gruzdev Overview of what was investigated