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Deep Visual Domain Adaptation

Deep Visual Domain Adaptation

28 December 2020
G. Csurka
    OOD
ArXivPDFHTML

Papers citing "Deep Visual Domain Adaptation"

50 / 120 papers shown
Title
Resilience in Knowledge Graph Embeddings
Resilience in Knowledge Graph Embeddings
Arnab Sharma
N'Dah Jean Kouagou
A. Ngomo
26
0
0
28 Oct 2024
Frugal Satellite Image Change Detection with Deep-Net Inversion
Frugal Satellite Image Change Detection with Deep-Net Inversion
H. Sahbi
Sebastien Deschamps
26
0
0
26 Sep 2023
The TYC Dataset for Understanding Instance-Level Semantics and Motions
  of Cells in Microstructures
The TYC Dataset for Understanding Instance-Level Semantics and Motions of Cells in Microstructures
Christoph Reich
Tim Prangemeier
Heinz Koeppl
23
0
0
23 Aug 2023
Trustworthy Representation Learning Across Domains
Trustworthy Representation Learning Across Domains
Ronghang Zhu
Dongliang Guo
Daiqing Qi
Zhixuan Chu
Xiang Yu
Sheng R. Li
FaML
AI4TS
31
2
0
23 Aug 2023
Domain Transfer Through Image-to-Image Translation for Uncertainty-Aware
  Prostate Cancer Classification
Domain Transfer Through Image-to-Image Translation for Uncertainty-Aware Prostate Cancer Classification
Meng Zhou
A. Jamzad
J. Izard
A. Menard
R. Siemens
P. Mousavi
MedIm
43
0
0
02 Jul 2023
Graph Structure and Feature Extrapolation for Out-of-Distribution
  Generalization
Graph Structure and Feature Extrapolation for Out-of-Distribution Generalization
Xiner Li
Shurui Gui
Youzhi Luo
Shuiwang Ji
OODD
OOD
20
10
0
13 Jun 2023
Federated Learning under Covariate Shifts with Generalization Guarantees
Federated Learning under Covariate Shifts with Generalization Guarantees
Ali Ramezani-Kebrya
Fanghui Liu
Thomas Pethick
Grigorios G. Chrysos
V. Cevher
FedML
OOD
15
6
0
08 Jun 2023
Joint Learning of Label and Environment Causal Independence for Graph
  Out-of-Distribution Generalization
Joint Learning of Label and Environment Causal Independence for Graph Out-of-Distribution Generalization
Shurui Gui
Meng Liu
Xiner Li
Youzhi Luo
Shuiwang Ji
CML
OOD
23
24
0
01 Jun 2023
Building Manufacturing Deep Learning Models with Minimal and Imbalanced
  Training Data Using Domain Adaptation and Data Augmentation
Building Manufacturing Deep Learning Models with Minimal and Imbalanced Training Data Using Domain Adaptation and Data Augmentation
A. Li
Elisa Bertino
Rih-Teng Wu
Ting Wu
18
4
0
31 May 2023
Feasibility of Transfer Learning: A Mathematical Framework
Feasibility of Transfer Learning: A Mathematical Framework
Haoyang Cao
Haotian Gu
Xin Guo
15
4
0
22 May 2023
A Multi-modal Approach to Single-modal Visual Place Classification
A Multi-modal Approach to Single-modal Visual Place Classification
Tomoya Iwasaki
Kanji Tanaka
Kenta Tsukahara
14
0
0
10 May 2023
Synthetic Datasets for Autonomous Driving: A Survey
Synthetic Datasets for Autonomous Driving: A Survey
Zhihang Song
Zimin He
Xingyu Li
Q. Ma
RuiBo Ming
...
Huaxin Pei
Lihui Peng
Jianming Hu
D. Yao
Yan Zhang
31
38
0
24 Apr 2023
Semantic-Aware Mixup for Domain Generalization
Semantic-Aware Mixup for Domain Generalization
C. Xu
Xinmei Tian
AAML
10
2
0
12 Apr 2023
CLIP goes 3D: Leveraging Prompt Tuning for Language Grounded 3D
  Recognition
CLIP goes 3D: Leveraging Prompt Tuning for Language Grounded 3D Recognition
Deepti Hegde
Jeya Maria Jose Valanarasu
Vishal M. Patel
CLIP
32
65
0
20 Mar 2023
Finding Competence Regions in Domain Generalization
Finding Competence Regions in Domain Generalization
Jens Müller
Stefan T. Radev
R. Schmier
Felix Dräxler
Carsten Rother
Ullrich Kothe
14
4
0
17 Mar 2023
Meta-learning approaches for few-shot learning: A survey of recent
  advances
Meta-learning approaches for few-shot learning: A survey of recent advances
Hassan Gharoun
Fereshteh Momenifar
Fang Chen
Amir H. Gandomi
OOD
VLM
44
43
0
13 Mar 2023
Reverse Engineering Breast MRIs: Predicting Acquisition Parameters
  Directly from Images
Reverse Engineering Breast MRIs: Predicting Acquisition Parameters Directly from Images
N. Konz
Maciej Mazurowski
MedIm
25
5
0
08 Mar 2023
Choosing Public Datasets for Private Machine Learning via Gradient
  Subspace Distance
Choosing Public Datasets for Private Machine Learning via Gradient Subspace Distance
Xin Gu
Gautam Kamath
Zhiwei Steven Wu
15
12
0
02 Mar 2023
Cross-Modal Fine-Tuning: Align then Refine
Cross-Modal Fine-Tuning: Align then Refine
Junhong Shen
Liam Li
Lucio Dery
Corey Staten
M. Khodak
Graham Neubig
Ameet Talwalkar
31
35
0
11 Feb 2023
Domain Re-Modulation for Few-Shot Generative Domain Adaptation
Domain Re-Modulation for Few-Shot Generative Domain Adaptation
Yi Wu
Ziqiang Li
Chaoyue Wang
Heliang Zheng
Shan Zhao
Bin Li
Dacheng Ta
36
17
0
06 Feb 2023
Domain Adaptation via Rebalanced Sub-domain Alignment
Domain Adaptation via Rebalanced Sub-domain Alignment
Yi-Ling Liu
Juncheng Dong
Ziyang Jiang
Ahmed Aloui
Keyu Li
Hunter Klein
Vahid Tarokh
David Carlson
20
2
0
03 Feb 2023
Anatomy-aware and acquisition-agnostic joint registration with
  SynthMorph
Anatomy-aware and acquisition-agnostic joint registration with SynthMorph
Malte Hoffmann
Andrew Hoopes
Douglas N. Greve
Bruce Fischl
Adrian V. Dalca
MedIm
38
15
0
26 Jan 2023
Semantic Segmentation Enhanced Transformer Model for Human Attention
  Prediction
Semantic Segmentation Enhanced Transformer Model for Human Attention Prediction
Shuo Zhang
ViT
18
0
0
26 Jan 2023
Training Lightweight Graph Convolutional Networks with Phase-field
  Models
Training Lightweight Graph Convolutional Networks with Phase-field Models
H. Sahbi
18
0
0
19 Dec 2022
Frugal Reinforcement-based Active Learning
Frugal Reinforcement-based Active Learning
Sebastien Deschamps
H. Sahbi
11
0
0
09 Dec 2022
DA-CIL: Towards Domain Adaptive Class-Incremental 3D Object Detection
DA-CIL: Towards Domain Adaptive Class-Incremental 3D Object Detection
Ziyuan Zhao
Ming Xu
Peisheng Qian
R. Pahwa
Richard Chang
3DPC
CLL
26
8
0
05 Dec 2022
DSLOB: A Synthetic Limit Order Book Dataset for Benchmarking Forecasting
  Algorithms under Distributional Shift
DSLOB: A Synthetic Limit Order Book Dataset for Benchmarking Forecasting Algorithms under Distributional Shift
Defu Cao
Yousef El-Laham
Loc Trinh
Svitlana Vyetrenko
Y. Liu
24
11
0
17 Nov 2022
Explainable, Domain-Adaptive, and Federated Artificial Intelligence in
  Medicine
Explainable, Domain-Adaptive, and Federated Artificial Intelligence in Medicine
A. Chaddad
Qizong Lu
Jiali Li
Y. Katib
R. Kateb
C. Tanougast
Ahmed Bouridane
Ahmed Abdulkadir
OOD
24
38
0
17 Nov 2022
Motion Style Transfer: Modular Low-Rank Adaptation for Deep Motion
  Forecasting
Motion Style Transfer: Modular Low-Rank Adaptation for Deep Motion Forecasting
Parth Kothari
Danyang Li
Yuejiang Liu
Alexandre Alahi
TTA
AI4TS
37
15
0
06 Nov 2022
Semi-Supervised Domain Adaptation for Cross-Survey Galaxy Morphology
  Classification and Anomaly Detection
Semi-Supervised Domain Adaptation for Cross-Survey Galaxy Morphology Classification and Anomaly Detection
A. Ćiprijanović
Ashia Lewis
K. Pedro
Sandeep Madireddy
Brian D. Nord
G. Perdue
Stefan M. Wild
OOD
26
7
0
01 Nov 2022
PatchRot: A Self-Supervised Technique for Training Vision Transformers
PatchRot: A Self-Supervised Technique for Training Vision Transformers
S. Chhabra
Prabal Bijoy Dutta
Hemanth Venkateswara
Baoxin Li
SSL
ViT
12
2
0
27 Oct 2022
Domain Adaptive Object Detection for Autonomous Driving under Foggy
  Weather
Domain Adaptive Object Detection for Autonomous Driving under Foggy Weather
Jinlong Li
Runsheng Xu
Jin Ma
Q. Zou
Jiaqi Ma
Hongkai Yu
TTA
36
67
0
27 Oct 2022
Transfer Learning for Individual Treatment Effect Estimation
Transfer Learning for Individual Treatment Effect Estimation
Ahmed Aloui
Juncheng Dong
Cat P. Le
Vahid Tarokh
CML
37
2
0
01 Oct 2022
Generalizability of Adversarial Robustness Under Distribution Shifts
Generalizability of Adversarial Robustness Under Distribution Shifts
Kumail Alhamoud
Hasan Hammoud
Motasem Alfarra
Bernard Ghanem
OOD
53
8
0
29 Sep 2022
Deep Domain Adaptation for Detecting Bomb Craters in Aerial Images
Deep Domain Adaptation for Detecting Bomb Craters in Aerial Images
Marco Geiger
Dominik Martin
Niklas Kühl
30
1
0
22 Sep 2022
Can Shadows Reveal Biometric Information?
Can Shadows Reveal Biometric Information?
Safa C. Medin
Amir Weiss
F. Durand
William T. Freeman
G. Wornell
CVBM
38
2
0
21 Sep 2022
Deep Unsupervised Domain Adaptation: A Review of Recent Advances and
  Perspectives
Deep Unsupervised Domain Adaptation: A Review of Recent Advances and Perspectives
Xiaofeng Liu
Chaehwa Yoo
Fangxu Xing
Hyejin Oh
G. El Fakhri
Je-Won Kang
Jonghye Woo
OOD
31
191
0
15 Aug 2022
DAPDAG: Domain Adaptation via Perturbed DAG Reconstruction
DAPDAG: Domain Adaptation via Perturbed DAG Reconstruction
Yanke Li
Hatt Tobias
Ioana Bica
M. Schaar
CML
24
0
0
02 Aug 2022
Neuro-Symbolic Learning: Principles and Applications in Ophthalmology
Neuro-Symbolic Learning: Principles and Applications in Ophthalmology
Muhammad Hassan
Haifei Guan
Aikaterini Melliou
Yuqi Wang
Qianhui Sun
...
Qi Huang
Jiefu Tan
Qinwang Xing
Peiwu Qin
Dongmei Yu
NAI
34
14
0
31 Jul 2022
Contrastive Image Synthesis and Self-supervised Feature Adaptation for
  Cross-Modality Biomedical Image Segmentation
Contrastive Image Synthesis and Self-supervised Feature Adaptation for Cross-Modality Biomedical Image Segmentation
Xinrong Hu
Corey Wang
Yiyu Shi
MedIm
30
1
0
27 Jul 2022
E2-AEN: End-to-End Incremental Learning with Adaptively Expandable
  Network
E2-AEN: End-to-End Incremental Learning with Adaptively Expandable Network
Guimei Cao
Zhanzhan Cheng
Yunlu Xu
Duo Li
Shiliang Pu
Yi Niu
Fei Wu
CLL
15
2
0
14 Jul 2022
Towards out of distribution generalization for problems in mechanics
Towards out of distribution generalization for problems in mechanics
Lingxiao Yuan
Harold S. Park
Emma Lejeune
OOD
AI4CE
28
16
0
29 Jun 2022
On the Permanence of Backdoors in Evolving Models
On the Permanence of Backdoors in Evolving Models
Huiying Li
A. Bhagoji
Yuxin Chen
Haitao Zheng
Ben Y. Zhao
AAML
20
2
0
08 Jun 2022
Neural Optimal Transport with General Cost Functionals
Neural Optimal Transport with General Cost Functionals
Arip Asadulaev
Alexander Korotin
Vage Egiazarian
Petr Mokrov
Evgeny Burnaev
OT
83
32
0
30 May 2022
Towards Model Generalization for Monocular 3D Object Detection
Towards Model Generalization for Monocular 3D Object Detection
Zhenyu Li
Zehui Chen
Ang Li
Liangji Fang
Qinhong Jiang
Xianming Liu
Junjun Jiang
31
7
0
23 May 2022
Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks
Temporal Domain Generalization with Drift-Aware Dynamic Neural Networks
Guangji Bai
Ling-Hao Chen
Liang Zhao
OOD
AI4TS
AI4CE
23
27
0
21 May 2022
Deep transfer learning for image classification: a survey
Deep transfer learning for image classification: a survey
J. Plested
Tom Gedeon
OOD
24
36
0
20 May 2022
Attention Consistency on Visual Corruptions for Single-Source Domain
  Generalization
Attention Consistency on Visual Corruptions for Single-Source Domain Generalization
Ilke Çugu
Massimiliano Mancini
Yanbei Chen
Zeynep Akata
OOD
11
44
0
27 Apr 2022
Few-Shot Object Detection in Unseen Domains
Few-Shot Object Detection in Unseen Domains
Karim Guirguis
George Eskandar
Matthias Kayser
Bin Yang
Jürgen Beyerer
23
1
0
11 Apr 2022
On the Road to Online Adaptation for Semantic Image Segmentation
On the Road to Online Adaptation for Semantic Image Segmentation
Riccardo Volpi
Pau de Jorge
Diane Larlus
G. Csurka
OffRL
31
25
0
30 Mar 2022
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