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SINet: Extreme Lightweight Portrait Segmentation Networks with Spatial
  Squeeze Modules and Information Blocking Decoder

SINet: Extreme Lightweight Portrait Segmentation Networks with Spatial Squeeze Modules and Information Blocking Decoder

20 November 2019
Hyojin Park
Lars Lowe Sjösund
Y. Yoo
Nicolas Monet
Jihwan Bang
Nojun Kwak
    SSeg
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Papers citing "SINet: Extreme Lightweight Portrait Segmentation Networks with Spatial Squeeze Modules and Information Blocking Decoder"

4 / 4 papers shown
Title
Federated Self-supervised Learning for Video Understanding
Federated Self-supervised Learning for Video Understanding
Yasar Abbas Ur Rehman
Yan Gao
Jiajun Shen
Pedro Porto Buarque de Gusmão
Nicholas D. Lane
FedML
22
15
0
05 Jul 2022
Real-time Semantic Segmentation with Context Aggregation Network
Real-time Semantic Segmentation with Context Aggregation Network
M. Yang
Saumya Kumaar
Ye Lyu
F. Nex
SSeg
29
63
0
02 Nov 2020
ELASTIC: Improving CNNs with Dynamic Scaling Policies
ELASTIC: Improving CNNs with Dynamic Scaling Policies
Huiyu Wang
Aniruddha Kembhavi
Ali Farhadi
Alan Yuille
Mohammad Rastegari
116
57
0
13 Dec 2018
ENet: A Deep Neural Network Architecture for Real-Time Semantic
  Segmentation
ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation
Adam Paszke
Abhishek Chaurasia
Sangpil Kim
Eugenio Culurciello
SSeg
218
2,056
0
07 Jun 2016
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