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. 1910.05562
  4. Cited By
Drop to Adapt: Learning Discriminative Features for Unsupervised Domain
  Adaptation

Drop to Adapt: Learning Discriminative Features for Unsupervised Domain Adaptation

12 October 2019
Seung-Min Lee
Dongwan Kim
Namil Kim
Seong-Gyun Jeong
    TTAOOD
ArXiv (abs)PDFHTML

Papers citing "Drop to Adapt: Learning Discriminative Features for Unsupervised Domain Adaptation"

43 / 93 papers shown
Title
Divergence Optimization for Noisy Universal Domain Adaptation
Divergence Optimization for Noisy Universal Domain Adaptation
Qing Yu
Atsushi Hashimoto
Yoshitaka Ushiku
NoLa
62
27
0
01 Apr 2021
Leveraging Self-Supervision for Cross-Domain Crowd Counting
Leveraging Self-Supervision for Cross-Domain Crowd Counting
Weizhe Liu
Nikita Durasov
Pascal Fua
97
42
0
30 Mar 2021
RobustNet: Improving Domain Generalization in Urban-Scene Segmentation
  via Instance Selective Whitening
RobustNet: Improving Domain Generalization in Urban-Scene Segmentation via Instance Selective Whitening
Sungha Choi
Sanghun Jung
Huiwon Yun
J. Kim
Seungryong Kim
Jaegul Choo
130
292
0
29 Mar 2021
Unsupervised domain adaptation via coarse-to-fine feature alignment
  method using contrastive learning
Unsupervised domain adaptation via coarse-to-fine feature alignment method using contrastive learning
Shiyu Tang
Peijun Tang
Yanxiang Gong
Zheng Ma
M. Xie
51
6
0
23 Mar 2021
Unsupervised Domain Adaptation for Image Classification via
  Structure-Conditioned Adversarial Learning
Unsupervised Domain Adaptation for Image Classification via Structure-Conditioned Adversarial Learning
Haibo Wang
Jian Tian
Songyuan Li
Hanbin Zhao
Qi Tian
Leilei Gan
Xi Li
55
7
0
04 Mar 2021
Cross-View Regularization for Domain Adaptive Panoptic Segmentation
Cross-View Regularization for Domain Adaptive Panoptic Segmentation
Jiaxing Huang
Dayan Guan
Aoran Xiao
Shijian Lu
88
58
0
03 Mar 2021
Domain Impression: A Source Data Free Domain Adaptation Method
Domain Impression: A Source Data Free Domain Adaptation Method
V. Kurmi
Venkatesh Subramanian
Vinay P. Namboodiri
TTA
217
152
0
17 Feb 2021
Mining Data Impressions from Deep Models as Substitute for the
  Unavailable Training Data
Mining Data Impressions from Deep Models as Substitute for the Unavailable Training Data
Gaurav Kumar Nayak
Konda Reddy Mopuri
Saksham Jain
Anirban Chakraborty
68
14
0
15 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 Transfer
Jian Liang
Dapeng Hu
Yunbo Wang
Ran He
Jiashi Feng
216
260
0
14 Dec 2020
The Lottery Tickets Hypothesis for Supervised and Self-supervised
  Pre-training in Computer Vision Models
The Lottery Tickets Hypothesis for Supervised and Self-supervised Pre-training in Computer Vision Models
Tianlong Chen
Jonathan Frankle
Shiyu Chang
Sijia Liu
Yang Zhang
Michael Carbin
Zhangyang Wang
97
123
0
12 Dec 2020
Effective Label Propagation for Discriminative Semi-Supervised Domain
  Adaptation
Effective Label Propagation for Discriminative Semi-Supervised Domain Adaptation
Zhiyong Huang
Kekai Sheng
Weiming Dong
Xing Mei
Chongyang Ma
Feiyue Huang
D. Zhou
Changsheng Xu
137
7
0
04 Dec 2020
Unsupervised Domain Adaptation in Semantic Segmentation via Orthogonal
  and Clustered Embeddings
Unsupervised Domain Adaptation in Semantic Segmentation via Orthogonal and Clustered Embeddings
Marco Toldo
Umberto Michieli
Pietro Zanuttigh
OOD
91
44
0
25 Nov 2020
LiDAM: Semi-Supervised Learning with Localized Domain Adaptation and
  Iterative Matching
LiDAM: Semi-Supervised Learning with Localized Domain Adaptation and Iterative Matching
Qun Liu
Matthew Shreve
R. Bala
38
0
0
13 Oct 2020
Domain Agnostic Learning for Unbiased Authentication
Domain Agnostic Learning for Unbiased Authentication
Jian Liang
Yuren Cao
Shuang Li
Bing Bai
Hao Li
Fei Wang
Kun Bai
OOD
60
0
0
11 Oct 2020
Feature Adaptation of Pre-Trained Language Models across Languages and
  Domains with Robust Self-Training
Feature Adaptation of Pre-Trained Language Models across Languages and Domains with Robust Self-Training
Hai Ye
Qingyu Tan
Ruidan He
Juntao Li
Hwee Tou Ng
Lidong Bing
VLM
80
7
0
24 Sep 2020
Chemical Property Prediction Under Experimental Biases
Chemical Property Prediction Under Experimental Biases
Yang Liu
H. Kashima
AI4CE
50
1
0
18 Sep 2020
Unsupervised Domain Adaptation by Uncertain Feature Alignment
Unsupervised Domain Adaptation by Uncertain Feature Alignment
Tobias Ringwald
Rainer Stiefelhagen
55
6
0
14 Sep 2020
ePointDA: An End-to-End Simulation-to-Real Domain Adaptation Framework
  for LiDAR Point Cloud Segmentation
ePointDA: An End-to-End Simulation-to-Real Domain Adaptation Framework for LiDAR Point Cloud Segmentation
Sicheng Zhao
Yezhen Wang
Yue Liu
Bichen Wu
Yang Gao
Pengfei Xu
Trevor Darrell
Kurt Keutzer
3DPC
113
94
0
07 Sep 2020
Learning to Balance Specificity and Invariance for In and Out of Domain
  Generalization
Learning to Balance Specificity and Invariance for In and Out of Domain Generalization
Prithvijit Chattopadhyay
Yogesh Balaji
Judy Hoffman
OOD
95
210
0
28 Aug 2020
CSCL: Critical Semantic-Consistent Learning for Unsupervised Domain
  Adaptation
CSCL: Critical Semantic-Consistent Learning for Unsupervised Domain Adaptation
Jiahua Dong
Yang Cong
Gan Sun
Yuyang Liu
Xiaowei Xu
86
42
0
24 Aug 2020
Entropy Guided Adversarial Model for Weakly Supervised Object
  Localization
Entropy Guided Adversarial Model for Weakly Supervised Object Localization
Sabrina Narimene Benassou
Wuzhen Shi
Feng Jiang
GANAAMLWSOL
66
5
0
04 Aug 2020
Deep Co-Training with Task Decomposition for Semi-Supervised Domain
  Adaptation
Deep Co-Training with Task Decomposition for Semi-Supervised Domain Adaptation
Luyu Yang
Yan Wang
M. Gao
Abhinav Shrivastava
Kilian Q. Weinberger
Wei-Lun Chao
Ser-Nam Lim
OOD
102
75
0
24 Jul 2020
Attract, Perturb, and Explore: Learning a Feature Alignment Network for
  Semi-supervised Domain Adaptation
Attract, Perturb, and Explore: Learning a Feature Alignment Network for Semi-supervised Domain Adaptation
Taekyung Kim
Changick Kim
103
139
0
18 Jul 2020
Unsupervised Domain Attention Adaptation Network for Caricature
  Attribute Recognition
Unsupervised Domain Attention Adaptation Network for Caricature Attribute Recognition
Wen Ji
Kelei He
Jing Huo
Zheng Gu
Yang Gao
CVBM
87
8
0
18 Jul 2020
Label Propagation with Augmented Anchors: A Simple Semi-Supervised
  Learning baseline for Unsupervised Domain Adaptation
Label Propagation with Augmented Anchors: A Simple Semi-Supervised Learning baseline for Unsupervised Domain Adaptation
Yabin Zhang
Bin Deng
Kui Jia
Lei Zhang
80
69
0
15 Jul 2020
Self-Challenging Improves Cross-Domain Generalization
Self-Challenging Improves Cross-Domain Generalization
Zeyi Huang
Haohan Wang
Eric Xing
Dong Huang
OOD
102
636
0
05 Jul 2020
Curriculum Manager for Source Selection in Multi-Source Domain
  Adaptation
Curriculum Manager for Source Selection in Multi-Source Domain Adaptation
Luyu Yang
Yogesh Balaji
Ser-Nam Lim
Abhinav Shrivastava
69
112
0
02 Jul 2020
An Overview of Deep Semi-Supervised Learning
An Overview of Deep Semi-Supervised Learning
Yassine Ouali
C´eline Hudelot
Myriam Tami
SSLHAI
131
303
0
09 Jun 2020
Unsupervised Transfer Learning with Self-Supervised Remedy
Unsupervised Transfer Learning with Self-Supervised Remedy
Jiabo Huang
S. Gong
SSL
100
2
0
08 Jun 2020
ADMP: An Adversarial Double Masks Based Pruning Framework For
  Unsupervised Cross-Domain Compression
ADMP: An Adversarial Double Masks Based Pruning Framework For Unsupervised Cross-Domain Compression
Xiaoyu Feng
Zhuqing Yuan
Guijin Wang
Yongpan Liu
46
5
0
07 Jun 2020
Unsupervised Domain Adaptation in Semantic Segmentation: a Review
Unsupervised Domain Adaptation in Semantic Segmentation: a Review
Marco Toldo
Andrea Maracani
Umberto Michieli
Pietro Zanuttigh
SSeg
154
185
0
21 May 2020
Super-Resolution Domain Adaptation Networks for Semantic Segmentation
  via Pixel and Output Level Aligning
Super-Resolution Domain Adaptation Networks for Semantic Segmentation via Pixel and Output Level Aligning
Junfeng Wu
Zhenjie Tang
Congán Xu
Enhai Liu
Long Gao
Wenjun Yan
OOD
50
6
0
13 May 2020
Unsupervised Domain Adaptation with Multiple Domain Discriminators and
  Adaptive Self-Training
Unsupervised Domain Adaptation with Multiple Domain Discriminators and Adaptive Self-Training
Teo Spadotto
Marco Toldo
Umberto Michieli
Pietro Zanuttigh
75
23
0
27 Apr 2020
Introducing Pose Consistency and Warp-Alignment for Self-Supervised 6D
  Object Pose Estimation in Color Images
Introducing Pose Consistency and Warp-Alignment for Self-Supervised 6D Object Pose Estimation in Color Images
Juil Sock
Guillermo Garcia-Hernando
Anil Armagan
Tae-Kyun Kim
67
5
0
27 Mar 2020
Domain Adaptation by Class Centroid Matching and Local Manifold
  Self-Learning
Domain Adaptation by Class Centroid Matching and Local Manifold Self-Learning
Lei Tian
Yongqiang Tang
Liangchen Hu
Zhida Ren
Wensheng Zhang
106
62
0
20 Mar 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
73
43
0
18 Mar 2020
Do We Really Need to Access the Source Data? Source Hypothesis Transfer
  for Unsupervised Domain Adaptation
Do We Really Need to Access the Source Data? Source Hypothesis Transfer for Unsupervised Domain Adaptation
Jian Liang
Dapeng Hu
Jiashi Feng
140
1,255
0
20 Feb 2020
Incremental Unsupervised Domain-Adversarial Training of Neural Networks
Incremental Unsupervised Domain-Adversarial Training of Neural Networks
Antonio Javier Gallego
Jorge Calvo-Zaragoza
Robert B. Fisher
CLLOOD
43
36
0
13 Jan 2020
A simple baseline for domain adaptation using rotation prediction
A simple baseline for domain adaptation using rotation prediction
Ajinkya Tejankar
Hamed Pirsiavash
SSL
67
5
0
26 Dec 2019
Minimum Class Confusion for Versatile Domain Adaptation
Minimum Class Confusion for Versatile Domain Adaptation
Ying Jin
Ximei Wang
Mingsheng Long
Jianmin Wang
97
7
0
08 Dec 2019
Transfer Adaptation Learning: A Decade Survey
Transfer Adaptation Learning: A Decade Survey
Lei Zhang
Xinbo Gao
OOD
143
194
0
12 Mar 2019
A Survey of Unsupervised Deep Domain Adaptation
A Survey of Unsupervised Deep Domain Adaptation
Garrett Wilson
D. Cook
OOD
204
824
0
06 Dec 2018
Adversarial Discriminative Domain Adaptation
Adversarial Discriminative Domain Adaptation
Eric Tzeng
Judy Hoffman
Kate Saenko
Trevor Darrell
GANOOD
306
4,688
0
17 Feb 2017
Previous
12