Vladimir Iglovikov | DeepAI

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∙ 06/25/2020

One Thousand and One Hours: Self-driving Motion Prediction Dataset

We present the largest self-driving dataset for motion prediction to dat...

16 John Houston, et al. ∙

∙ 02/18/2019

2017 Robotic Instrument Segmentation Challenge

In mainstream computer vision and machine learning, public datasets such...

14 Max Allan, et al. ∙

∙ 10/06/2018

Camera Model Identification Using Convolutional Neural Networks

Source camera identification is the process of determining which camera ...

0 Artur Kuzin, et al. ∙

∙ 04/21/2018

Angiodysplasia Detection and Localization Using Deep Convolutional Neural Networks

Accurate detection and localization for angiodysplasia lesions is an imp...

0 Alexey Shvets, et al. ∙

∙ 03/03/2018

Automatic Instrument Segmentation in Robot-Assisted Surgery Using Deep Learning

Semantic segmentation of robotic instruments is an important problem for...

0 Alexey Shvets, et al. ∙

∙ 02/02/2018

Deep Convolutional Neural Networks for Breast Cancer Histology Image Analysis

Breast cancer is one of the main causes of cancer death worldwide. Early...

0 Alexander Rakhlin, et al. ∙

∙ 01/17/2018

TernausNet: U-Net with VGG11 Encoder Pre-Trained on ImageNet for Image Segmentation

Pixel-wise image segmentation is demanding task in computer vision. Clas...

0 Vladimir Iglovikov, et al. ∙

∙ 12/13/2017

Pediatric Bone Age Assessment Using Deep Convolutional Neural Networks

Skeletal bone age assessment is a common clinical practice to diagnose e...

0 Vladimir Iglovikov, et al. ∙

∙ 06/19/2017

Satellite Imagery Feature Detection using Deep Convolutional Neural Network: A Kaggle Competition

This paper describes our approach to the DSTL Satellite Imagery Feature ...

0 Vladimir Iglovikov, et al. ∙

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