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Diverse Target and Contribution Scheduling for Domain Generalization
v1v2 (latest)

Diverse Target and Contribution Scheduling for Domain Generalization

IEEE Transactions on Image Processing (IEEE TIP), 2023
28 September 2023
Shaocong Long
Qianyu Zhou
Soham Dan
Lizhuang Ma
Yuan Luo
ArXiv (abs)PDFHTML

Papers citing "Diverse Target and Contribution Scheduling for Domain Generalization"

19 / 69 papers shown
Title
Generalizing to Unseen Domains via Adversarial Data Augmentation
Generalizing to Unseen Domains via Adversarial Data Augmentation
Riccardo Volpi
Hongseok Namkoong
Ozan Sener
John C. Duchi
Vittorio Murino
Silvio Savarese
OOD
302
867
0
30 May 2018
Generalizing Across Domains via Cross-Gradient Training
Generalizing Across Domains via Cross-Gradient Training
Shiv Shankar
Vihari Piratla
Soumen Chakrabarti
S. Chaudhuri
Preethi Jyothi
Sunita Sarawagi
OOD
240
561
0
28 Apr 2018
End-to-End Multi-Task Learning with Attention
End-to-End Multi-Task Learning with Attention
Shikun Liu
Edward Johns
Andrew J. Davison
CVBM
242
1,224
0
28 Mar 2018
Encoder-Decoder with Atrous Separable Convolution for Semantic Image
  Segmentation
Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation
Liang-Chieh Chen
Yukun Zhu
George Papandreou
Florian Schroff
Hartwig Adam
SSeg
962
15,240
0
07 Feb 2018
ComboGAN: Unrestrained Scalability for Image Domain Translation
ComboGAN: Unrestrained Scalability for Image Domain Translation
Asha Anoosheh
E. Agustsson
Radu Timofte
Luc Van Gool
110
208
0
19 Dec 2017
Domain Generalization by Marginal Transfer Learning
Domain Generalization by Marginal Transfer Learning
Gilles Blanchard
A. Deshmukh
Ürün Dogan
Gyemin Lee
Clayton Scott
OOD
266
320
0
21 Nov 2017
GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep
  Multitask Networks
GradNorm: Gradient Normalization for Adaptive Loss Balancing in Deep Multitask Networks
Zhao Chen
Vijay Badrinarayanan
Chen-Yu Lee
Andrew Rabinovich
ODL
430
1,566
0
07 Nov 2017
Deeper, Broader and Artier Domain Generalization
Deeper, Broader and Artier Domain Generalization
Da Li
Yongxin Yang
Yi-Zhe Song
Timothy M. Hospedales
OOD
481
1,642
0
09 Oct 2017
Deep Hashing Network for Unsupervised Domain Adaptation
Deep Hashing Network for Unsupervised Domain Adaptation
Hemanth Venkateswara
José Eusébio
Shayok Chakraborty
S. Panchanathan
OOD
426
2,327
0
22 Jun 2017
Feature Pyramid Networks for Object Detection
Feature Pyramid Networks for Object Detection
Nayeon Lee
Piotr Dollár
Ross B. Girshick
Kaiming He
Bharath Hariharan
Serge J. Belongie
ObjD
1.3K
25,093
0
09 Dec 2016
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based
  Localization
Grad-CAM: Visual Explanations from Deep Networks via Gradient-based LocalizationInternational Journal of Computer Vision (IJCV), 2016
Ramprasaath R. Selvaraju
Michael Cogswell
Abhishek Das
Ramakrishna Vedantam
Devi Parikh
Dhruv Batra
FAtt
896
23,895
0
07 Oct 2016
Deep CORAL: Correlation Alignment for Deep Domain Adaptation
Deep CORAL: Correlation Alignment for Deep Domain Adaptation
Baochen Sun
Kate Saenko
OOD
468
3,568
0
06 Jul 2016
Fully Convolutional Networks for Semantic Segmentation
Fully Convolutional Networks for Semantic Segmentation
Evan Shelhamer
Jonathan Long
Trevor Darrell
VOSSSeg
1.2K
40,538
0
20 May 2016
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
MedIm
3.6K
215,507
0
10 Dec 2015
You Only Look Once: Unified, Real-Time Object Detection
You Only Look Once: Unified, Real-Time Object DetectionComputer Vision and Pattern Recognition (CVPR), 2015
Joseph Redmon
S. Divvala
Ross B. Girshick
Ali Farhadi
ObjD
1.4K
42,169
0
08 Jun 2015
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal
  Networks
Faster R-CNN: Towards Real-Time Object Detection with Region Proposal NetworksIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2015
Shaoqing Ren
Kaiming He
Ross B. Girshick
Jian Sun
AIMatObjD
1.8K
68,914
0
04 Jun 2015
Domain-Adversarial Training of Neural Networks
Domain-Adversarial Training of Neural NetworksJournal of machine learning research (JMLR), 2015
Yaroslav Ganin
E. Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
Victor Lempitsky
GANOOD
1.0K
10,559
0
28 May 2015
U-Net: Convolutional Networks for Biomedical Image Segmentation
U-Net: Convolutional Networks for Biomedical Image Segmentation
Olaf Ronneberger
Philipp Fischer
Thomas Brox
SSeg3DV
3.0K
88,445
0
18 May 2015
Distilling the Knowledge in a Neural Network
Distilling the Knowledge in a Neural Network
Geoffrey E. Hinton
Oriol Vinyals
J. Dean
FedML
789
22,238
0
09 Mar 2015
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