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Shallow Features Guide Unsupervised Domain Adaptation for Semantic
  Segmentation at Class Boundaries

Shallow Features Guide Unsupervised Domain Adaptation for Semantic Segmentation at Class Boundaries

6 October 2021
Adriano Cardace
Pierluigi Zama Ramirez
Samuele Salti
Luigi Di Stefano
    OOD
ArXivPDFHTML

Papers citing "Shallow Features Guide Unsupervised Domain Adaptation for Semantic Segmentation at Class Boundaries"

32 / 32 papers shown
Title
UDA4Inst: Unsupervised Domain Adaptation for Instance Segmentation
UDA4Inst: Unsupervised Domain Adaptation for Instance Segmentation
Yachan Guo
Yi Xiao
Danna Xue
Jose Luis Gomez Zurita
Antonio M. López
115
0
0
15 May 2024
Hard-aware Instance Adaptive Self-training for Unsupervised Cross-domain Semantic Segmentation
Hard-aware Instance Adaptive Self-training for Unsupervised Cross-domain Semantic Segmentation
Chuanglu Zhu
Kebin Liu
Wenqi Tang
Ke Mei
Jiaqi Zou
Tiejun Huang
128
1
0
14 Feb 2023
Simple Copy-Paste is a Strong Data Augmentation Method for Instance
  Segmentation
Simple Copy-Paste is a Strong Data Augmentation Method for Instance Segmentation
Golnaz Ghiasi
Huayu Chen
A. Srinivas
Rui Qian
Nayeon Lee
E. D. Cubuk
Quoc V. Le
Barret Zoph
ISeg
290
991
0
13 Dec 2020
Instance Adaptive Self-Training for Unsupervised Domain Adaptation
Instance Adaptive Self-Training for Unsupervised Domain Adaptation
Ke Mei
Chuang Zhu
Jiaqi Zou
Shanghang Zhang
71
307
0
27 Aug 2020
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
66
91
0
30 Jul 2020
Context-Aware Domain Adaptation in Semantic Segmentation
Context-Aware Domain Adaptation in Semantic Segmentation
Jinyu Yang
Weizhi An
Chao-chao Yan
P. Zhao
Junzhou Huang
56
56
0
09 Mar 2020
Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain
  Adaptive Semantic Segmentation
Rectifying Pseudo Label Learning via Uncertainty Estimation for Domain Adaptive Semantic Segmentation
Zhedong Zheng
Yi Yang
NoLa
236
504
0
08 Mar 2020
Learning Texture Invariant Representation for Domain Adaptation of
  Semantic Segmentation
Learning Texture Invariant Representation for Domain Adaptation of Semantic Segmentation
Myeongjin Kim
H. Byun
OOD
66
277
0
02 Mar 2020
Unsupervised Scene Adaptation with Memory Regularization in vivo
Unsupervised Scene Adaptation with Memory Regularization in vivo
Zhedong Zheng
Yi Yang
CLL
76
117
0
24 Dec 2019
Domain Adaptation for Semantic Segmentation with Maximum Squares Loss
Domain Adaptation for Semantic Segmentation with Maximum Squares Loss
Minghao Chen
Hongyang Xue
Deng Cai
80
288
0
30 Sep 2019
Unsupervised Domain Adaptation through Self-Supervision
Unsupervised Domain Adaptation through Self-Supervision
Yu Sun
Eric Tzeng
Trevor Darrell
Alexei A. Efros
OOD
SSL
62
238
0
26 Sep 2019
Boundary-Aware Feature Propagation for Scene Segmentation
Boundary-Aware Feature Propagation for Scene Segmentation
Henghui Ding
Xudong Jiang
A. Liu
N. Magnenat-Thalmann
G. Wang
292
258
0
31 Aug 2019
Confidence Regularized Self-Training
Confidence Regularized Self-Training
Yang Zou
Zhiding Yu
Xiaofeng Liu
B. Kumar
Jinsong Wang
342
796
0
26 Aug 2019
CutMix: Regularization Strategy to Train Strong Classifiers with
  Localizable Features
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features
Sangdoo Yun
Dongyoon Han
Seong Joon Oh
Sanghyuk Chun
Junsuk Choe
Y. Yoo
OOD
619
4,780
0
13 May 2019
SEMEDA: Enhancing Segmentation Precision with Semantic Edge Aware Loss
SEMEDA: Enhancing Segmentation Precision with Semantic Edge Aware Loss
Yifu Chen
Arnaud Dapogny
Matthieu Cord
SSeg
59
24
0
06 May 2019
Bidirectional Learning for Domain Adaptation of Semantic Segmentation
Bidirectional Learning for Domain Adaptation of Semantic Segmentation
Yunsheng Li
Lu Yuan
Nuno Vasconcelos
SSeg
93
627
0
24 Apr 2019
Adaptive Affinity Fields for Semantic Segmentation
Adaptive Affinity Fields for Semantic Segmentation
Tsung-Wei Ke
Jyh-Jing Hwang
Ziwei Liu
Stella X. Yu
87
191
0
27 Mar 2018
Learning to Adapt Structured Output Space for Semantic Segmentation
Learning to Adapt Structured Output Space for Semantic Segmentation
Yi-Hsuan Tsai
Wei-Chih Hung
S. Schulter
Kihyuk Sohn
Ming-Hsuan Yang
Manmohan Chandraker
OOD
SSeg
137
1,545
0
28 Feb 2018
Deep Visual Domain Adaptation: A Survey
Deep Visual Domain Adaptation: A Survey
Mei Wang
Weihong Deng
OOD
70
2,013
0
10 Feb 2018
Encoder-Decoder with Atrous Separable Convolution for Semantic Image
  Segmentation
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
Liang-Chieh Chen
Yukun Zhu
George Papandreou
Florian Schroff
Hartwig Adam
SSeg
439
13,143
0
07 Feb 2018
CyCADA: Cycle-Consistent Adversarial Domain Adaptation
CyCADA: Cycle-Consistent Adversarial Domain Adaptation
Judy Hoffman
Eric Tzeng
Taesung Park
Jun-Yan Zhu
Phillip Isola
Kate Saenko
Alexei A. Efros
Trevor Darrell
144
3,002
0
08 Nov 2017
Fine-grained Recognition in the Wild: A Multi-Task Domain Adaptation
  Approach
Fine-grained Recognition in the Wild: A Multi-Task Domain Adaptation Approach
Timnit Gebru
Judy Hoffman
Li Fei-Fei
69
157
0
07 Sep 2017
Cut, Paste and Learn: Surprisingly Easy Synthesis for Instance Detection
Cut, Paste and Learn: Surprisingly Easy Synthesis for Instance Detection
Debidatta Dwibedi
Ishan Misra
M. Hebert
90
621
0
04 Aug 2017
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial
  Networks
Unpaired Image-to-Image Translation using Cycle-Consistent Adversarial Networks
Jun-Yan Zhu
Taesung Park
Phillip Isola
Alexei A. Efros
GAN
125
5,553
0
30 Mar 2017
FCNs in the Wild: Pixel-level Adversarial and Constraint-based
  Adaptation
FCNs in the Wild: Pixel-level Adversarial and Constraint-based Adaptation
Judy Hoffman
Dequan Wang
Feng Yu
Trevor Darrell
OOD
89
789
0
08 Dec 2016
Playing for Data: Ground Truth from Computer Games
Playing for Data: Ground Truth from Computer Games
Stephan R. Richter
Vibhav Vineet
Stefan Roth
V. Koltun
VLM
122
2,011
0
07 Aug 2016
Improved Techniques for Training GANs
Improved Techniques for Training GANs
Tim Salimans
Ian Goodfellow
Wojciech Zaremba
Vicki Cheung
Alec Radford
Xi Chen
GAN
480
9,052
0
10 Jun 2016
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
315
2,082
0
07 Jun 2016
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets,
  Atrous Convolution, and Fully Connected CRFs
DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs
Liang-Chieh Chen
George Papandreou
Iasonas Kokkinos
Kevin Patrick Murphy
Alan Yuille
SSeg
251
18,240
0
02 Jun 2016
The Cityscapes Dataset for Semantic Urban Scene Understanding
The Cityscapes Dataset for Semantic Urban Scene Understanding
Marius Cordts
Mohamed Omran
Sebastian Ramos
Timo Rehfeld
Markus Enzweiler
Rodrigo Benenson
Uwe Franke
Stefan Roth
Bernt Schiele
1.1K
11,623
0
06 Apr 2016
Spatial Transformer Networks
Spatial Transformer Networks
Max Jaderberg
Karen Simonyan
Andrew Zisserman
Koray Kavukcuoglu
300
7,387
0
05 Jun 2015
Efficient Inference in Fully Connected CRFs with Gaussian Edge
  Potentials
Efficient Inference in Fully Connected CRFs with Gaussian Edge Potentials
Philipp Krahenbuhl
V. Koltun
132
3,452
0
20 Oct 2012
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