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

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

19 June 2017
V. Iglovikov
Sergey Mushinskiy
V. Osin
ArXivPDFHTML

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

6 / 6 papers shown
Title
Financial Table Extraction in Image Documents
Financial Table Extraction in Image Documents
W. Watson
Bo Liu
20
4
0
18 Mar 2024
The Synthinel-1 dataset: a collection of high resolution synthetic
  overhead imagery for building segmentation
The Synthinel-1 dataset: a collection of high resolution synthetic overhead imagery for building segmentation
Fanjie Kong
Bohao Huang
Kyle Bradbury
Jordan M. Malof
12
38
0
15 Jan 2020
Segmenting Ships in Satellite Imagery With Squeeze and Excitation U-Net
Segmenting Ships in Satellite Imagery With Squeeze and Excitation U-Net
R. Venkatesh
Anand Metha
SSeg
13
4
0
27 Oct 2019
Tiling and Stitching Segmentation Output for Remote Sensing: Basic
  Challenges and Recommendations
Tiling and Stitching Segmentation Output for Remote Sensing: Basic Challenges and Recommendations
Bohao Huang
Daniel Reichman
L. Collins
Kyle Bradbury
Jordan M. Malof
16
44
0
30 May 2018
Angiodysplasia Detection and Localization Using Deep Convolutional
  Neural Networks
Angiodysplasia Detection and Localization Using Deep Convolutional Neural Networks
Alexey A. Shvets
V. Iglovikov
Alexander Rakhlin
Alexandr A Kalinin
MedIm
14
74
0
21 Apr 2018
TernausNet: U-Net with VGG11 Encoder Pre-Trained on ImageNet for Image
  Segmentation
TernausNet: U-Net with VGG11 Encoder Pre-Trained on ImageNet for Image Segmentation
V. Iglovikov
Alexey A. Shvets
SSeg
14
606
0
17 Jan 2018
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