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Bringing Background into the Foreground: Making All Classes Equal in
  Weakly-supervised Video Semantic Segmentation

Bringing Background into the Foreground: Making All Classes Equal in Weakly-supervised Video Semantic Segmentation

15 August 2017
F. Saleh
Mohammad Sadegh Ali Akbarian
Mathieu Salzmann
L. Petersson
J. Álvarez
    VOS
ArXivPDFHTML

Papers citing "Bringing Background into the Foreground: Making All Classes Equal in Weakly-supervised Video Semantic Segmentation"

5 / 5 papers shown
Title
A Survey on Deep Learning Technique for Video Segmentation
A Survey on Deep Learning Technique for Video Segmentation
Tianfei Zhou
Fatih Porikli
David J. Crandall
Luc Van Gool
Wenguan Wang
VOS
39
232
0
02 Jul 2021
Domain Adaptive Semantic Segmentation Using Weak Labels
Domain Adaptive Semantic Segmentation Using Weak Labels
S. Paul
Yi-Hsuan Tsai
S. Schulter
Amit K. Roy-Chowdhury
Manmohan Chandraker
25
90
0
30 Jul 2020
CEREALS - Cost-Effective REgion-based Active Learning for Semantic
  Segmentation
CEREALS - Cost-Effective REgion-based Active Learning for Semantic Segmentation
Radek Mackowiak
Philip Lenz
Omair Ghori
Ferran Diego
O. Lange
Carsten Rother
42
108
0
23 Oct 2018
Minimizing Supervision for Free-space Segmentation
Minimizing Supervision for Free-space Segmentation
Satoshi Tsutsui
Tommi Kerola
Shunta Saito
David J. Crandall
36
22
0
16 Nov 2017
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Robust
  Semantic Pixel-Wise Labelling
SegNet: A Deep Convolutional Encoder-Decoder Architecture for Robust Semantic Pixel-Wise Labelling
Vijay Badrinarayanan
Ankur Handa
R. Cipolla
SSeg
169
792
0
27 May 2015
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