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Class-Incremental Domain Adaptation

Class-Incremental Domain Adaptation

4 August 2020
Jogendra Nath Kundu
R. Venkatesh
Naveen Venkat
Ambareesh Revanur
R. Venkatesh Babu
    CLL
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Papers citing "Class-Incremental Domain Adaptation"

21 / 21 papers shown
Title
Multi-Granularity Class Prototype Topology Distillation for Class-Incremental Source-Free Unsupervised Domain Adaptation
Multi-Granularity Class Prototype Topology Distillation for Class-Incremental Source-Free Unsupervised Domain Adaptation
Peihua Deng
Jiehua Zhang
Xichun Sheng
C. Yan
Yaoqi Sun
Ying Fu
Liang-Sheng Li
CLL
144
1
0
25 Nov 2024
Universal Source-Free Domain Adaptation
Universal Source-Free Domain Adaptation
Jogendra Nath Kundu
Naveen Venkat
V. RahulM.
R. Venkatesh Babu
VLM
TTA
61
342
0
09 Apr 2020
Large Scale Incremental Learning
Large Scale Incremental Learning
Yue Wu
Yinpeng Chen
Lijuan Wang
Yuancheng Ye
Zicheng Liu
Yandong Guo
Y. Fu
CLL
89
1,249
0
30 May 2019
Domain-Specific Batch Normalization for Unsupervised Domain Adaptation
Domain-Specific Batch Normalization for Unsupervised Domain Adaptation
Woonggi Chang
Tackgeun You
Seonguk Seo
Suha Kwak
Bohyung Han
OOD
64
385
0
27 May 2019
Zero-Shot Knowledge Distillation in Deep Networks
Zero-Shot Knowledge Distillation in Deep Networks
Gaurav Kumar Nayak
Konda Reddy Mopuri
Vaisakh Shaj
R. Venkatesh Babu
Anirban Chakraborty
73
245
0
20 May 2019
Learning without Memorizing
Learning without Memorizing
Prithviraj Dhar
Rajat Vikram Singh
Kuan-Chuan Peng
Ziyan Wu
Rama Chellappa
CLL
79
479
0
20 Nov 2018
Unsupervised Domain Adaptation Based on Source-guided Discrepancy
Unsupervised Domain Adaptation Based on Source-guided Discrepancy
Seiichi Kuroki
Nontawat Charoenphakdee
Han Bao
Junya Honda
Issei Sato
Masashi Sugiyama
49
57
0
11 Sep 2018
End-to-End Incremental Learning
End-to-End Incremental Learning
F. M. Castro
M. Marín-Jiménez
Nicolás Guil Mata
Cordelia Schmid
Alahari Karteek
CLL
85
1,153
0
25 Jul 2018
Open Set Domain Adaptation by Backpropagation
Open Set Domain Adaptation by Backpropagation
Kuniaki Saito
Shohei Yamamoto
Yoshitaka Ushiku
Tatsuya Harada
VLM
74
505
0
27 Apr 2018
Label Efficient Learning of Transferable Representations across Domains
  and Tasks
Label Efficient Learning of Transferable Representations across Domains and Tasks
Zelun Luo
Yuliang Zou
Judy Hoffman
Li Fei-Fei
68
276
0
30 Nov 2017
Generate To Adapt: Aligning Domains using Generative Adversarial
  Networks
Generate To Adapt: Aligning Domains using Generative Adversarial Networks
S. Sankaranarayanan
Yogesh Balaji
Carlos D. Castillo
Rama Chellappa
GAN
OOD
103
651
0
06 Apr 2017
Adversarial Discriminative Domain Adaptation
Adversarial Discriminative Domain Adaptation
Eric Tzeng
Judy Hoffman
Kate Saenko
Trevor Darrell
GAN
OOD
257
4,655
0
17 Feb 2017
Regularizing Neural Networks by Penalizing Confident Output
  Distributions
Regularizing Neural Networks by Penalizing Confident Output Distributions
Gabriel Pereyra
George Tucker
J. Chorowski
Lukasz Kaiser
Geoffrey E. Hinton
NoLa
149
1,137
0
23 Jan 2017
Deep CORAL: Correlation Alignment for Deep Domain Adaptation
Deep CORAL: Correlation Alignment for Deep Domain Adaptation
Baochen Sun
Kate Saenko
OOD
91
3,144
0
06 Jul 2016
Learning without Forgetting
Learning without Forgetting
Zhizhong Li
Derek Hoiem
CLL
OOD
SSL
282
4,391
0
29 Jun 2016
Domain-Adversarial Training of Neural Networks
Domain-Adversarial Training of Neural Networks
Yaroslav Ganin
E. Ustinova
Hana Ajakan
Pascal Germain
Hugo Larochelle
François Laviolette
M. Marchand
Victor Lempitsky
GAN
OOD
366
9,467
0
28 May 2015
Learning Transferable Features with Deep Adaptation Networks
Learning Transferable Features with Deep Adaptation Networks
Mingsheng Long
Yue Cao
Jianmin Wang
Michael I. Jordan
OOD
215
5,189
0
10 Feb 2015
Delving Deep into Rectifiers: Surpassing Human-Level Performance on
  ImageNet Classification
Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification
Kaiming He
Xinming Zhang
Shaoqing Ren
Jian Sun
VLM
284
18,587
0
06 Feb 2015
Deep Domain Confusion: Maximizing for Domain Invariance
Deep Domain Confusion: Maximizing for Domain Invariance
Eric Tzeng
Judy Hoffman
Ning Zhang
Kate Saenko
Trevor Darrell
OOD
167
2,598
0
10 Dec 2014
Unsupervised Domain Adaptation by Backpropagation
Unsupervised Domain Adaptation by Backpropagation
Yaroslav Ganin
Victor Lempitsky
OOD
231
6,019
0
26 Sep 2014
An Empirical Investigation of Catastrophic Forgetting in Gradient-Based
  Neural Networks
An Empirical Investigation of Catastrophic Forgetting in Gradient-Based Neural Networks
Ian Goodfellow
M. Berk Mirza
Xia Da
Aaron Courville
Yoshua Bengio
137
1,439
0
21 Dec 2013
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