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MLSL: Multi-Level Self-Supervised Learning for Domain Adaptation with
  Spatially Independent and Semantically Consistent Labeling

MLSL: Multi-Level Self-Supervised Learning for Domain Adaptation with Spatially Independent and Semantically Consistent Labeling

30 September 2019
Javed Iqbal
Mohsen Ali
ArXivPDFHTML

Papers citing "MLSL: Multi-Level Self-Supervised Learning for Domain Adaptation with Spatially Independent and Semantically Consistent Labeling"

4 / 4 papers shown
Title
Boosting Domain Adaptation by Discovering Latent Domains
Boosting Domain Adaptation by Discovering Latent Domains
Massimiliano Mancini
Lorenzo Porzi
Samuel Rota Buló
Barbara Caputo
Elisa Ricci
OOD
103
152
0
03 May 2018
Fully Convolutional Adaptation Networks for Semantic Segmentation
Fully Convolutional Adaptation Networks for Semantic Segmentation
Yiheng Zhang
Zhaofan Qiu
Ting Yao
Dong Liu
Tao Mei
SSeg
OOD
136
338
0
23 Apr 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
A. Hengel
SSeg
227
1,332
0
30 Nov 2016
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
408
9,912
0
02 Nov 2015
1