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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

17 January 2018
V. Iglovikov
Alexey A. Shvets
    SSeg
ArXiv (abs)PDFHTMLGithub (1059★)

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

11 / 11 papers shown
Title
BiPrompt-SAM: Enhancing Image Segmentation via Explicit Selection between Point and Text Prompts
BiPrompt-SAM: Enhancing Image Segmentation via Explicit Selection between Point and Text Prompts
Suzhe Xu
Jialin Peng
Chengyuan Zhang
VLM
101
0
0
25 Mar 2025
Surgical SAM 2: Real-time Segment Anything in Surgical Video by Efficient Frame Pruning
Surgical SAM 2: Real-time Segment Anything in Surgical Video by Efficient Frame Pruning
Haofeng Liu
Erli Zhang
Junde Wu
Mingxuan Hong
Yueming Jin
MedIm
73
20
0
15 Aug 2024
Pediatric Bone Age Assessment Using Deep Convolutional Neural Networks
Pediatric Bone Age Assessment Using Deep Convolutional Neural Networks
V. Iglovikov
Alexander Rakhlin
Alexandr A Kalinin
Alexey A. Shvets
32
127
0
13 Dec 2017
Multi-Task Learning for Segmentation of Building Footprints with Deep
  Neural Networks
Multi-Task Learning for Segmentation of Building Footprints with Deep Neural Networks
B. Bischke
P. Helber
Joachim Folz
Damian Borth
Andreas Dengel
SSeg
51
249
0
18 Sep 2017
Satellite Imagery Feature Detection using Deep Convolutional Neural
  Network: A Kaggle Competition
Satellite Imagery Feature Detection using Deep Convolutional Neural Network: A Kaggle Competition
V. Iglovikov
Sergey Mushinskiy
V. Osin
55
168
0
19 Jun 2017
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOSSSeg
741
37,862
0
20 May 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
2.2K
194,020
0
10 Dec 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg3DV
1.8K
77,196
0
18 May 2015
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
1.9K
150,115
0
22 Dec 2014
Very Deep Convolutional Networks for Large-Scale Image Recognition
Very Deep Convolutional Networks for Large-Scale Image Recognition
Karen Simonyan
Andrew Zisserman
FAttMDE
1.7K
100,386
0
04 Sep 2014
ImageNet Large Scale Visual Recognition Challenge
ImageNet Large Scale Visual Recognition Challenge
Olga Russakovsky
Jia Deng
Hao Su
J. Krause
S. Satheesh
...
A. Karpathy
A. Khosla
Michael S. Bernstein
Alexander C. Berg
Li Fei-Fei
VLMObjD
1.7K
39,547
0
01 Sep 2014
1