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Multi-task deep learning for image segmentation using recursive
  approximation tasks

Multi-task deep learning for image segmentation using recursive approximation tasks

26 May 2020
Rihuan Ke
Aurélie Bugeau
Nicolas Papadakis
Mark Kirkland
P. Schuetz
Carola-Bibiane Schönlieb
    SSeg
ArXivPDFHTML

Papers citing "Multi-task deep learning for image segmentation using recursive approximation tasks"

4 / 4 papers shown
Title
MTLSegFormer: Multi-task Learning with Transformers for Semantic
  Segmentation in Precision Agriculture
MTLSegFormer: Multi-task Learning with Transformers for Semantic Segmentation in Precision Agriculture
D. Gonçalves
J. M. Junior
Pedro Zamboni
H. Pistori
Jonathan Li
Keiller Nogueira
W. Gonçalves
35
5
0
04 May 2023
Design Perspectives of Multitask Deep Learning Models and Applications
Design Perspectives of Multitask Deep Learning Models and Applications
Yeshwant Singh
Anupam Biswas
Angshuman Bora
Debashish Malakar
Subham Chakraborty
S. Bera
23
0
0
27 Sep 2022
A Survey on Deep Learning in Medical Image Analysis
A Survey on Deep Learning in Medical Image Analysis
G. Litjens
Thijs Kooi
B. Bejnordi
A. Setio
F. Ciompi
Mohsen Ghafoorian
Jeroen van der Laak
Bram van Ginneken
C. I. Sánchez
OOD
278
10,608
0
19 Feb 2017
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image
  Segmentation
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation
Vijay Badrinarayanan
Alex Kendall
R. Cipolla
SSeg
437
15,631
0
02 Nov 2015
1