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On the iterative refinement of densely connected representation levels
  for semantic segmentation

On the iterative refinement of densely connected representation levels for semantic segmentation

30 April 2018
Arantxa Casanova
Guillem Cucurull
M. Drozdzal
Adriana Romero
Yoshua Bengio
    SSeg
ArXivPDFHTML

Papers citing "On the iterative refinement of densely connected representation levels for semantic segmentation"

13 / 13 papers shown
Title
DualRefine: Self-Supervised Depth and Pose Estimation Through Iterative
  Epipolar Sampling and Refinement Toward Equilibrium
DualRefine: Self-Supervised Depth and Pose Estimation Through Iterative Epipolar Sampling and Refinement Toward Equilibrium
Antyanta Bangunharcana
A. Magd
Kyung-soo Kim
MDE
35
17
0
07 Apr 2023
Entangled Residual Mappings
Entangled Residual Mappings
Mathias Lechner
Ramin Hasani
Z. Babaiee
Radu Grosu
Daniela Rus
T. Henzinger
Sepp Hochreiter
14
5
0
02 Jun 2022
Reversible Watermarking in Deep Convolutional Neural Networks for
  Integrity Authentication
Reversible Watermarking in Deep Convolutional Neural Networks for Integrity Authentication
Xiquan Guan
Huamin Feng
Weiming Zhang
Hang Zhou
Jie Zhang
Nenghai Yu
AAML
19
59
0
09 Apr 2021
AM-GCN: Adaptive Multi-channel Graph Convolutional Networks
AM-GCN: Adaptive Multi-channel Graph Convolutional Networks
Xiao Wang
Meiqi Zhu
Deyu Bo
Peng Cui
C. Shi
J. Pei
BDL
33
480
0
05 Jul 2020
Learning to adapt class-specific features across domains for semantic
  segmentation
Learning to adapt class-specific features across domains for semantic segmentation
Mikel Menta
Adriana Romero
Joost van de Weijer
22
1
0
22 Jan 2020
Dense Fusion Classmate Network for Land Cover Classification
Dense Fusion Classmate Network for Land Cover Classification
Chao Tian
Cong Li
Jianping Shi
30
33
0
19 Nov 2019
Efficient Ladder-style DenseNets for Semantic Segmentation of Large
  Images
Efficient Ladder-style DenseNets for Semantic Segmentation of Large Images
Ivan Kreso
Josip Krapac
Sinisa Segvic
SSeg
31
53
0
14 May 2019
Elucidating image-to-set prediction: An analysis of models, losses and
  datasets
Elucidating image-to-set prediction: An analysis of models, losses and datasets
Luis Villaseñor-Pineda
Amaia Salvador
M. Drozdzal
Adriana Romero
28
12
0
11 Apr 2019
Reducing Uncertainty in Undersampled MRI Reconstruction with Active
  Acquisition
Reducing Uncertainty in Undersampled MRI Reconstruction with Active Acquisition
Zizhao Zhang
Adriana Romero
Matthew Muckley
Pascal Vincent
Lin Yang
M. Drozdzal
19
110
0
08 Feb 2019
GEOMetrics: Exploiting Geometric Structure for Graph-Encoded Objects
GEOMetrics: Exploiting Geometric Structure for Graph-Encoded Objects
Edward James Smith
Scott Fujimoto
Adriana Romero
David Meger
21
90
0
31 Jan 2019
Recurrent Iterative Gating Networks for Semantic Segmentation
Recurrent Iterative Gating Networks for Semantic Segmentation
Rezaul Karim
Md. Amirul Islam
Neil D. B. Bruce
13
11
0
20 Nov 2018
Wider or Deeper: Revisiting the ResNet Model for Visual Recognition
Wider or Deeper: Revisiting the ResNet Model for Visual Recognition
Zifeng Wu
Chunhua Shen
Anton Van Den Hengel
SSeg
260
1,495
0
30 Nov 2016
Bridging the Gaps Between Residual Learning, Recurrent Neural Networks
  and Visual Cortex
Bridging the Gaps Between Residual Learning, Recurrent Neural Networks and Visual Cortex
Q. Liao
T. Poggio
213
255
0
13 Apr 2016
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