ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1907.10915
  4. Cited By
Self-supervised Domain Adaptation for Computer Vision Tasks
v1v2v3 (latest)

Self-supervised Domain Adaptation for Computer Vision Tasks

IEEE Access (IEEE Access), 2019
25 July 2019
Jiaolong Xu
Liang Xiao
Antonio M. López
    OODSSLVLM
ArXiv (abs)PDFHTMLGithub (49★)

Papers citing "Self-supervised Domain Adaptation for Computer Vision Tasks"

24 / 74 papers shown
Title
DA4Event: towards bridging the Sim-to-Real Gap for Event Cameras using
  Domain Adaptation
DA4Event: towards bridging the Sim-to-Real Gap for Event Cameras using Domain AdaptationIEEE Robotics and Automation Letters (RA-L), 2021
M. Planamente
Chiara Plizzari
Marco Cannici
Marco Ciccone
Francesco Strada
A. Bottino
Matteo Matteucci
Barbara Caputo
138
21
0
23 Mar 2021
Surprisingly Simple Semi-Supervised Domain Adaptation with Pretraining
  and Consistency
Surprisingly Simple Semi-Supervised Domain Adaptation with Pretraining and ConsistencyBritish Machine Vision Conference (BMVC), 2021
Samarth Mishra
Kate Saenko
Venkatesh Saligrama
157
30
0
29 Jan 2021
Prototypical Pseudo Label Denoising and Target Structure Learning for
  Domain Adaptive Semantic Segmentation
Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic SegmentationComputer Vision and Pattern Recognition (CVPR), 2021
Pan Zhang
Bo Zhang
Ting Zhang
Dong Chen
Yong Wang
Fang Wen
357
551
0
26 Jan 2021
Rethinking Domain Generalization Baselines
Rethinking Domain Generalization BaselinesInternational Conference on Pattern Recognition (ICPR), 2021
Francesco Cappio Borlino
A. DÍnnocente
Tatiana Tommasi
OOD
219
43
0
22 Jan 2021
Source Data-absent Unsupervised Domain Adaptation through Hypothesis
  Transfer and Labeling Transfer
Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling TransferIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2020
Jian Liang
Dapeng Hu
Yunbo Wang
Ran He
Jiashi Feng
303
315
0
14 Dec 2020
Emotional Semantics-Preserved and Feature-Aligned CycleGAN for Visual
  Emotion Adaptation
Emotional Semantics-Preserved and Feature-Aligned CycleGAN for Visual Emotion AdaptationIEEE Transactions on Cybernetics (IEEE Trans. Cybern.), 2020
Sicheng Zhao
Xuanbai Chen
Xiangyu Yue
Chuang Lin
Pengfei Xu
Ravi Krishna
Jufeng Yang
Guiguang Ding
Alberto L. Sangiovanni-Vincentelli
Kurt Keutzer
GAN
124
20
0
25 Nov 2020
Curriculum CycleGAN for Textual Sentiment Domain Adaptation with
  Multiple Sources
Curriculum CycleGAN for Textual Sentiment Domain Adaptation with Multiple SourcesThe Web Conference (WWW), 2020
Sicheng Zhao
Yang Xiao
Jiang Guo
Xiangyu Yue
Jufeng Yang
Ravi Krishna
Pengfei Xu
Kurt Keutzer
232
19
0
17 Nov 2020
Unsupervised BatchNorm Adaptation (UBNA): A Domain Adaptation Method for
  Semantic Segmentation Without Using Source Domain Representations
Unsupervised BatchNorm Adaptation (UBNA): A Domain Adaptation Method for Semantic Segmentation Without Using Source Domain Representations
Marvin Klingner
Jan-Aike Termöhlen
Jacob Ritterbach
Tim Fingscheidt
280
42
0
17 Nov 2020
Self-Supervised Domain Adaptation with Consistency Training
Self-Supervised Domain Adaptation with Consistency Training
Liang Xiao
J. Xu
D. Zhao
Z. Wang
L. Wang
Y. Nie
B. Dai
109
16
0
15 Oct 2020
Domain Agnostic Learning for Unbiased Authentication
Domain Agnostic Learning for Unbiased Authentication
Jian Liang
Yuren Cao
Shuang Li
Bing Bai
Hao Li
Haiwei Yang
Kun Bai
OOD
165
0
0
11 Oct 2020
Open-Set Hypothesis Transfer with Semantic Consistency
Open-Set Hypothesis Transfer with Semantic ConsistencyIEEE Transactions on Image Processing (TIP), 2020
Zeyu Feng
Chang Xu
Dacheng Tao
128
16
0
01 Oct 2020
A Review of Single-Source Deep Unsupervised Visual Domain Adaptation
A Review of Single-Source Deep Unsupervised Visual Domain AdaptationIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020
Sicheng Zhao
Xiangyu Yue
Shanghang Zhang
Yue Liu
Han Zhao
...
Ravi Krishna
Joseph E. Gonzalez
Alberto L. Sangiovanni-Vincentelli
Sanjit A. Seshia
Kurt Keutzer
300
308
0
01 Sep 2020
Action-Based Representation Learning for Autonomous Driving
Action-Based Representation Learning for Autonomous Driving
Yi Xiao
Felipe Codevilla
C. Pal
Antonio M. López
198
10
0
21 Aug 2020
Co-training for On-board Deep Object Detection
Co-training for On-board Deep Object DetectionIEEE Access (IEEE Access), 2020
Gabriel Villalonga
A. Peña
VLMObjD
117
6
0
12 Aug 2020
On the Effectiveness of Image Rotation for Open Set Domain Adaptation
On the Effectiveness of Image Rotation for Open Set Domain AdaptationEuropean Conference on Computer Vision (ECCV), 2020
S. Bucci
Mohammad Reza Loghmani
Tatiana Tommasi
206
175
0
24 Jul 2020
One-Shot Unsupervised Cross-Domain Detection
One-Shot Unsupervised Cross-Domain Detection
A. DÍnnocente
Francesco Cappio Borlino
S. Bucci
Barbara Caputo
Tatiana Tommasi
ObjD
103
36
0
23 May 2020
Empirical Bayes Transductive Meta-Learning with Synthetic Gradients
Empirical Bayes Transductive Meta-Learning with Synthetic GradientsInternational Conference on Learning Representations (ICLR), 2020
S. Hu
Pablo G. Moreno
Yanghua Xiao
Xin Shen
G. Obozinski
Neil D. Lawrence
Andreas C. Damianou
BDL
185
135
0
27 Apr 2020
Unsupervised Domain Adaptation through Inter-modal Rotation for RGB-D
  Object Recognition
Unsupervised Domain Adaptation through Inter-modal Rotation for RGB-D Object Recognition
Mohammad Reza Loghmani
Yu Sun
Eric Tzeng
Trevor Darrell
Alexei A. Efros
Markus Vincze
159
34
0
21 Apr 2020
Joint Supervised and Self-Supervised Learning for 3D Real-World
  Challenges
Joint Supervised and Self-Supervised Learning for 3D Real-World ChallengesInternational Conference on Pattern Recognition (ICPR), 2020
A. Alliegro
Davide Boscaini
Tatiana Tommasi
3DPCSSL
153
43
0
15 Apr 2020
AdaStereo: A Simple and Efficient Approach for Adaptive Stereo Matching
AdaStereo: A Simple and Efficient Approach for Adaptive Stereo MatchingComputer Vision and Pattern Recognition (CVPR), 2020
Xiao-yang Song
Guorun Yang
Xinge Zhu
Hui Zhou
Zhe Wang
Jianping Shi
176
76
0
09 Apr 2020
Cross-domain Self-supervised Learning for Domain Adaptation with Few
  Source Labels
Cross-domain Self-supervised Learning for Domain Adaptation with Few Source Labels
Donghyun Kim
Kuniaki Saito
Tae-Hyun Oh
Bryan A. Plummer
Stan Sclaroff
Kate Saenko
SSL
109
48
0
18 Mar 2020
MADAN: Multi-source Adversarial Domain Aggregation Network for Domain
  Adaptation
MADAN: Multi-source Adversarial Domain Aggregation Network for Domain AdaptationInternational Journal of Computer Vision (IJCV), 2020
Sicheng Zhao
Yue Liu
Xiangyu Yue
Pengfei Xu
Kurt Keutzer
OOD
200
71
0
19 Feb 2020
Secure and Robust Machine Learning for Healthcare: A Survey
Secure and Robust Machine Learning for Healthcare: A SurveyIEEE Reviews in Biomedical Engineering (RBME), 2020
A. Qayyum
Junaid Qadir
Muhammad Bilal
Ala I. Al-Fuqaha
AAMLOOD
208
435
0
21 Jan 2020
Adversarial Discriminative Domain Adaptation
Adversarial Discriminative Domain AdaptationComputer Vision and Pattern Recognition (CVPR), 2017
Eric Tzeng
Judy Hoffman
Kate Saenko
Trevor Darrell
GANOOD
724
5,007
0
17 Feb 2017
Previous
12