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. 2007.12368
  4. Cited By
Self-Supervised Learning Across Domains

Self-Supervised Learning Across Domains

24 July 2020
S. Bucci
A. DÍnnocente
Yujun Liao
Fabio Maria Carlucci
Barbara Caputo
Tatiana Tommasi
    SSL
ArXivPDFHTML

Papers citing "Self-Supervised Learning Across Domains"

16 / 16 papers shown
Title
Predicting Practically? Domain Generalization for Predictive Analytics in Real-world Environments
Hanyu Duan
Yi Yang
Ahmed Abbasi
K. Tam
OOD
92
0
0
05 Mar 2025
Weight Averaging Improves Knowledge Distillation under Domain Shift
Weight Averaging Improves Knowledge Distillation under Domain Shift
Valeriy Berezovskiy
Nikita Morozov
MoMe
21
1
0
20 Sep 2023
Source-Free Domain Adaptation with Temporal Imputation for Time Series
  Data
Source-Free Domain Adaptation with Temporal Imputation for Time Series Data
Mohamed Ragab
Emadeldeen Eldele
Min-man Wu
Chuan-Sheng Foo
Xiaoli Li
Zhenghua Chen
TTA
AI4TS
19
18
0
14 Jul 2023
HGFormer: Hierarchical Grouping Transformer for Domain Generalized
  Semantic Segmentation
HGFormer: Hierarchical Grouping Transformer for Domain Generalized Semantic Segmentation
Jian Ding
Nan Xue
Guisong Xia
Bernt Schiele
Dengxin Dai
ViT
17
30
0
22 May 2023
Walking Your LiDOG: A Journey Through Multiple Domains for LiDAR
  Semantic Segmentation
Walking Your LiDOG: A Journey Through Multiple Domains for LiDAR Semantic Segmentation
Cristiano Saltori
Aljovsa Ovsep
Elisa Ricci
Laura Leal-Taixé
22
14
0
23 Apr 2023
Anomaly Detection under Distribution Shift
Anomaly Detection under Distribution Shift
T. Cao
Jiawen Zhu
Guansong Pang
45
26
0
24 Mar 2023
Semantic Image Segmentation: Two Decades of Research
Semantic Image Segmentation: Two Decades of Research
G. Csurka
Riccardo Volpi
Boris Chidlovskii
3DV
29
50
0
13 Feb 2023
Semi-Supervised and Unsupervised Deep Visual Learning: A Survey
Semi-Supervised and Unsupervised Deep Visual Learning: A Survey
Yanbei Chen
Massimiliano Mancini
Xiatian Zhu
Zeynep Akata
36
113
0
24 Aug 2022
Contrastive Learning for Cross-Domain Open World Recognition
Contrastive Learning for Cross-Domain Open World Recognition
Francesco Cappio Borlino
S. Bucci
Tatiana Tommasi
SSL
24
3
0
17 Mar 2022
Exploring Data Aggregation and Transformations to Generalize across
  Visual Domains
Exploring Data Aggregation and Transformations to Generalize across Visual Domains
Antono DÍnnocente
OOD
33
0
0
20 Aug 2021
What Does Rotation Prediction Tell Us about Classifier Accuracy under
  Varying Testing Environments?
What Does Rotation Prediction Tell Us about Classifier Accuracy under Varying Testing Environments?
Weijian Deng
Stephen Gould
Liang Zheng
28
62
0
10 Jun 2021
Multi-Modal RGB-D Scene Recognition Across Domains
Multi-Modal RGB-D Scene Recognition Across Domains
Andrea Ferreri
S. Bucci
Tatiana Tommasi
16
6
0
26 Mar 2021
Domain Generalization: A Survey
Domain Generalization: A Survey
Kaiyang Zhou
Ziwei Liu
Yu Qiao
Tao Xiang
Chen Change Loy
OOD
AI4CE
72
980
0
03 Mar 2021
Deep Domain-Adversarial Image Generation for Domain Generalisation
Deep Domain-Adversarial Image Generation for Domain Generalisation
Kaiyang Zhou
Yongxin Yang
Timothy M. Hospedales
Tao Xiang
OOD
215
404
0
12 Mar 2020
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
136
154
0
03 May 2018
Boosting Self-Supervised Learning via Knowledge Transfer
Boosting Self-Supervised Learning via Knowledge Transfer
M. Noroozi
Ananth Vinjimoor
Paolo Favaro
Hamed Pirsiavash
SSL
209
292
0
01 May 2018
1