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Structured Consistency Loss for semi-supervised semantic segmentation

Structured Consistency Loss for semi-supervised semantic segmentation

14 January 2020
Jongmok Kim
JooYoung Jang
Hyunwoo Park
SeongAh Jeong
ArXivPDFHTML

Papers citing "Structured Consistency Loss for semi-supervised semantic segmentation"

13 / 13 papers shown
Title
Semi-Supervised Semantic Segmentation With Region Relevance
Semi-Supervised Semantic Segmentation With Region Relevance
Rui Chen
Tao Chen
Qiong Wang
Yazhou Yao
21
5
0
23 Apr 2023
L-MAE: Masked Autoencoders are Semantic Segmentation Datasets Augmenter
L-MAE: Masked Autoencoders are Semantic Segmentation Datasets Augmenter
Jiaru Jia
Ming-Yu Liu
Jiake Xie
Xin Chen
Hong Zhang
Xin Jiang
Aiqing Yang
22
0
0
21 Nov 2022
ConfMix: Unsupervised Domain Adaptation for Object Detection via
  Confidence-based Mixing
ConfMix: Unsupervised Domain Adaptation for Object Detection via Confidence-based Mixing
Giulio Mattolin
Luca Zanella
Elisa Ricci
Yiming Wang
ObjD
27
40
0
20 Oct 2022
Consistency Regularization for Domain Adaptation
Consistency Regularization for Domain Adaptation
K. Koh
Basura Fernando
17
3
0
23 Aug 2022
Decoder Denoising Pretraining for Semantic Segmentation
Decoder Denoising Pretraining for Semantic Segmentation
Emmanuel B. Asiedu
Simon Kornblith
Ting Chen
Niki Parmar
Matthias Minderer
Mohammad Norouzi
AI4CE
191
26
0
23 May 2022
Multi-Class 3D Object Detection with Single-Class Supervision
Multi-Class 3D Object Detection with Single-Class Supervision
Mao Ye
Chenxi Liu
Maoqing Yao
Weiyue Wang
Zhaoqi Leng
C. Qi
Drago Anguelov
3DPC
30
1
0
11 May 2022
Enhancing Pseudo Label Quality for Semi-Supervised Domain-Generalized
  Medical Image Segmentation
Enhancing Pseudo Label Quality for Semi-Supervised Domain-Generalized Medical Image Segmentation
Huifeng Yao
Xiaowei Hu
X. Li
17
91
0
21 Jan 2022
Semi-supervised Domain Adaptation for Semantic Segmentation
Semi-supervised Domain Adaptation for Semantic Segmentation
Ying Chen
Ouyang Xu
Kaiyue Zhu
G. Agam
22
6
0
20 Oct 2021
Adaptive Early-Learning Correction for Segmentation from Noisy
  Annotations
Adaptive Early-Learning Correction for Segmentation from Noisy Annotations
Sheng Liu
Kangning Liu
Weicheng Zhu
Yiqiu Shen
C. Fernandez‐Granda
NoLa
21
104
0
07 Oct 2021
Pixel Contrastive-Consistent Semi-Supervised Semantic Segmentation
Pixel Contrastive-Consistent Semi-Supervised Semantic Segmentation
Yuanyi Zhong
Bodi Yuan
Hong Wu
Zhiqiang Yuan
Jian Peng
Yu-xiong Wang
30
167
0
20 Aug 2021
ClassMix: Segmentation-Based Data Augmentation for Semi-Supervised
  Learning
ClassMix: Segmentation-Based Data Augmentation for Semi-Supervised Learning
Viktor Olsson
Wilhelm Tranheden
Juliano Pinto
Lennart Svensson
20
329
0
15 Jul 2020
Mean teachers are better role models: Weight-averaged consistency
  targets improve semi-supervised deep learning results
Mean teachers are better role models: Weight-averaged consistency targets improve semi-supervised deep learning results
Antti Tarvainen
Harri Valpola
OOD
MoMe
244
1,275
0
06 Mar 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
435
15,631
0
02 Nov 2015
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