ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2007.14449
  4. Cited By
Learning from Scale-Invariant Examples for Domain Adaptation in Semantic
  Segmentation

Learning from Scale-Invariant Examples for Domain Adaptation in Semantic Segmentation

28 July 2020
M.Naseer Subhani
Mohsen Ali
ArXivPDFHTML

Papers citing "Learning from Scale-Invariant Examples for Domain Adaptation in Semantic Segmentation"

15 / 15 papers shown
Title
Enhancing AI Diagnostics: Autonomous Lesion Masking via Semi-Supervised
  Deep Learning
Enhancing AI Diagnostics: Autonomous Lesion Masking via Semi-Supervised Deep Learning
Ting-Ruen Wei
Michele Hell
Dang Bich Thuy Le
Aren T Vierra
Ran Pang
Mahesh Patel
Young Kang
Yuling Yan
33
0
0
18 Apr 2024
All for One, and One for All: UrbanSyn Dataset, the third Musketeer of Synthetic Driving Scenes
All for One, and One for All: UrbanSyn Dataset, the third Musketeer of Synthetic Driving Scenes
J. L. Gómez
Manuel Silva
Antonio Seoane
Agnes Borrás
Mario Noriega
Germán Ros
Jose A. Iglesias-Guitian
Antonio M. López
3DPC
70
12
0
19 Dec 2023
Dual-level Interaction for Domain Adaptive Semantic Segmentation
Dual-level Interaction for Domain Adaptive Semantic Segmentation
Dongyu Yao
Boheng Li
26
3
0
16 Jul 2023
QuadFormer: Quadruple Transformer for Unsupervised Domain Adaptation in
  Power Line Segmentation of Aerial Images
QuadFormer: Quadruple Transformer for Unsupervised Domain Adaptation in Power Line Segmentation of Aerial Images
P. Rao
Feng Qiao
Weide Zhang
Yiliang Xu
Yong Deng
Guangbin Wu
Qiang Zhang
29
8
0
29 Nov 2022
Threshold-adaptive Unsupervised Focal Loss for Domain Adaptation of
  Semantic Segmentation
Threshold-adaptive Unsupervised Focal Loss for Domain Adaptation of Semantic Segmentation
Wei Yan
Yeqiang Qian
Chunxiang Wang
Ming Yang
34
17
0
23 Aug 2022
Unsupervised Contrastive Domain Adaptation for Semantic Segmentation
Unsupervised Contrastive Domain Adaptation for Semantic Segmentation
Feihu Zhang
V. Koltun
Philip H. S. Torr
René Ranftl
Stephan R. Richter
15
6
0
18 Apr 2022
Continual BatchNorm Adaptation (CBNA) for Semantic Segmentation
Continual BatchNorm Adaptation (CBNA) for Semantic Segmentation
Marvin Klingner
Mouadh Ayache
Tim Fingscheidt
16
12
0
02 Mar 2022
Self-Ensembling GAN for Cross-Domain Semantic Segmentation
Self-Ensembling GAN for Cross-Domain Semantic Segmentation
Yonghao Xu
Fengxiang He
Bo Du
Dacheng Tao
Liangpei Zhang
GAN
24
15
0
15 Dec 2021
Unsupervised Adaptation of Semantic Segmentation Models without Source
  Data
Unsupervised Adaptation of Semantic Segmentation Models without Source Data
S. Paul
Ansh Khurana
Gaurav Aggarwal
OOD
120
7
0
04 Dec 2021
Dual Path Learning for Domain Adaptation of Semantic Segmentation
Dual Path Learning for Domain Adaptation of Semantic Segmentation
Yiting Cheng
Fangyun Wei
Jianmin Bao
Dong Chen
Fang Wen
Wenqiang Zhang
38
69
0
13 Aug 2021
DSP: Dual Soft-Paste for Unsupervised Domain Adaptive Semantic
  Segmentation
DSP: Dual Soft-Paste for Unsupervised Domain Adaptive Semantic Segmentation
Li Gao
Jing Zhang
Lefei Zhang
Dacheng Tao
23
85
0
20 Jul 2021
Domain Adaptation for Semantic Segmentation via Patch-Wise Contrastive
  Learning
Domain Adaptation for Semantic Segmentation via Patch-Wise Contrastive Learning
Weizhe Liu
David Ferstl
S. Schulter
L. Zebedin
Pascal Fua
C. Leistner
92
38
0
22 Apr 2021
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
Javed Iqbal
Mohsen Ali
26
43
0
30 Sep 2019
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
261
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
446
15,637
0
02 Nov 2015
1