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Instance-Invariant Domain Adaptive Object Detection via Progressive
  Disentanglement
v1v2v3v4 (latest)

Instance-Invariant Domain Adaptive Object Detection via Progressive Disentanglement

20 November 2019
Aming Wu
Yahong Han
Linchao Zhu
Yi Yang
ArXiv (abs)PDFHTML

Papers citing "Instance-Invariant Domain Adaptive Object Detection via Progressive Disentanglement"

39 / 39 papers shown
Title
Cascade RPN: Delving into High-Quality Region Proposal Network with
  Adaptive Convolution
Cascade RPN: Delving into High-Quality Region Proposal Network with Adaptive Convolution
Thang Vu
Hyunjun Jang
T. Pham
Chang D. Yoo
ObjD
72
169
0
15 Sep 2019
Self-Training and Adversarial Background Regularization for Unsupervised
  Domain Adaptive One-Stage Object Detection
Self-Training and Adversarial Background Regularization for Unsupervised Domain Adaptive One-Stage Object Detection
Seunghyeon Kim
Jaehoon Choi
Taekyung Kim
Changick Kim
73
192
0
02 Sep 2019
Theory and Evaluation Metrics for Learning Disentangled Representations
Theory and Evaluation Metrics for Learning Disentangled Representations
Kien Do
T. Tran
CoGeDRL
65
96
0
26 Aug 2019
Multi-level Domain Adaptive learning for Cross-Domain Detection
Multi-level Domain Adaptive learning for Cross-Domain Detection
Rongchang Xie
Fei Yu
Jiachao Wang
Yizhou Wang
Li Zhang
ObjDOOD
53
93
0
26 Jul 2019
Multi-adversarial Faster-RCNN for Unrestricted Object Detection
Multi-adversarial Faster-RCNN for Unrestricted Object Detection
Zhenwei He
Lei Zhang
ObjD
79
323
0
24 Jul 2019
Unsupervised Domain Adaptation via Regularized Conditional Alignment
Unsupervised Domain Adaptation via Regularized Conditional Alignment
Safa Cicek
Stefano Soatto
OOD
99
118
0
26 May 2019
Diversify and Match: A Domain Adaptive Representation Learning Paradigm
  for Object Detection
Diversify and Match: A Domain Adaptive Representation Learning Paradigm for Object Detection
Taekyung Kim
Minki Jeong
Seunghyeon Kim
Seokeon Choi
Changick Kim
71
302
0
14 May 2019
Domain Agnostic Learning with Disentangled Representations
Domain Agnostic Learning with Disentangled Representations
Xingchao Peng
Zijun Huang
Ximeng Sun
Kate Saenko
OODDRL
78
264
0
28 Apr 2019
Exploring Object Relation in Mean Teacher for Cross-Domain Detection
Exploring Object Relation in Mean Teacher for Cross-Domain Detection
Qi Cai
Yingwei Pan
Chong-Wah Ngo
Xinmei Tian
Ling-yu Duan
Ting Yao
ViTOOD
73
308
0
25 Apr 2019
Transferrable Prototypical Networks for Unsupervised Domain Adaptation
Transferrable Prototypical Networks for Unsupervised Domain Adaptation
Yingwei Pan
Ting Yao
Yehao Li
Yu Wang
Chong-Wah Ngo
Tao Mei
83
347
0
25 Apr 2019
Domain-Symmetric Networks for Adversarial Domain Adaptation
Domain-Symmetric Networks for Adversarial Domain Adaptation
Yabin Zhang
Hui Tang
Kui Jia
Mingkui Tan
OOD
71
323
0
09 Apr 2019
A Robust Learning Approach to Domain Adaptive Object Detection
A Robust Learning Approach to Domain Adaptive Object Detection
Mehran Khodabandeh
Arash Vahdat
Mani Ranjbar
W. Macready
ObjDOODTTA
48
245
0
04 Apr 2019
Few-shot Adaptive Faster R-CNN
Few-shot Adaptive Faster R-CNN
Tao Wang
Xiaopeng Zhang
Li-xin Yuan
Jiashi Feng
ObjD
103
131
0
22 Mar 2019
Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation
Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation
Chen-Yu Lee
Tanmay Batra
M. H. Baig
Daniel Ulbricht
138
542
0
10 Mar 2019
Unsupervised Domain Adaptation using Feature-Whitening and Consensus
  Loss
Unsupervised Domain Adaptation using Feature-Whitening and Consensus Loss
Subhankar Roy
Aliaksandr Siarohin
E. Sangineto
Samuel Rota Buló
N. Sebe
Elisa Ricci
118
163
0
07 Mar 2019
DLOW: Domain Flow for Adaptation and Generalization
DLOW: Domain Flow for Adaptation and Generalization
R. Gong
Wen Li
Yuhua Chen
Luc Van Gool
OODAI4CE
100
352
0
13 Dec 2018
Strong-Weak Distribution Alignment for Adaptive Object Detection
Strong-Weak Distribution Alignment for Adaptive Object Detection
Kuniaki Saito
Yoshitaka Ushiku
Tatsuya Harada
Kate Saenko
ObjD
79
615
0
12 Dec 2018
Challenging Common Assumptions in the Unsupervised Learning of
  Disentangled Representations
Challenging Common Assumptions in the Unsupervised Learning of Disentangled Representations
Francesco Locatello
Stefan Bauer
Mario Lucic
Gunnar Rätsch
Sylvain Gelly
Bernhard Schölkopf
Olivier Bachem
OOD
124
1,467
0
29 Nov 2018
Graph Learning-Convolutional Networks
Graph Learning-Convolutional Networks
Bo Jiang
Ziyan Zhang
Doudou Lin
Jin Tang
GNNSSL
39
5
0
25 Nov 2018
Diverse Image-to-Image Translation via Disentangled Representations
Diverse Image-to-Image Translation via Disentangled Representations
Hsin-Ying Lee
Hung-Yu Tseng
Jia-Bin Huang
M. Singh
Ming-Hsuan Yang
DRL
65
910
0
02 Aug 2018
Adapted Deep Embeddings: A Synthesis of Methods for $k$-Shot Inductive
  Transfer Learning
Adapted Deep Embeddings: A Synthesis of Methods for kkk-Shot Inductive Transfer Learning
Tyler R. Scott
Karl Ridgeway
Michael C. Mozer
70
84
0
22 May 2018
Multimodal Unsupervised Image-to-Image Translation
Multimodal Unsupervised Image-to-Image Translation
Xun Huang
Ming-Yuan Liu
Serge J. Belongie
Jan Kautz
133
2,482
0
12 Apr 2018
Cross-Domain Weakly-Supervised Object Detection through Progressive
  Domain Adaptation
Cross-Domain Weakly-Supervised Object Detection through Progressive Domain Adaptation
Naoto Inoue
Ryosuke Furuta
T. Yamasaki
Kiyoharu Aizawa
ObjD
90
531
0
30 Mar 2018
Domain Adaptive Faster R-CNN for Object Detection in the Wild
Domain Adaptive Faster R-CNN for Object Detection in the Wild
Yuhua Chen
Wen Li
Daniel Gehrig
Dengxin Dai
Luc Van Gool
OODObjD
107
1,301
0
08 Mar 2018
Learning Deep Disentangled Embeddings with the F-Statistic Loss
Learning Deep Disentangled Embeddings with the F-Statistic Loss
Karl Ridgeway
Michael C. Mozer
FedMLDRLCoGe
64
218
0
14 Feb 2018
Relation Networks for Object Detection
Relation Networks for Object Detection
Han Hu
Jiayuan Gu
Zheng Zhang
Jifeng Dai
Yichen Wei
ObjD
122
1,223
0
30 Nov 2017
Semantic Foggy Scene Understanding with Synthetic Data
Semantic Foggy Scene Understanding with Synthetic Data
Daniel Gehrig
Dengxin Dai
Luc Van Gool
99
1,102
0
25 Aug 2017
From source to target and back: symmetric bi-directional adaptive GAN
From source to target and back: symmetric bi-directional adaptive GAN
P. Russo
Fabio Maria Carlucci
Tatiana Tommasi
Barbara Caputo
GAN
95
242
0
24 May 2017
Mask R-CNN
Mask R-CNN
Kaiming He
Georgia Gkioxari
Piotr Dollár
Ross B. Girshick
ObjD
352
27,195
0
20 Mar 2017
Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial
  Networks
Unsupervised Pixel-Level Domain Adaptation with Generative Adversarial Networks
Konstantinos Bousmalis
N. Silberman
David Dohan
D. Erhan
Dilip Krishnan
OODGAN
151
1,536
0
16 Dec 2016
The Cityscapes Dataset for Semantic Urban Scene Understanding
The Cityscapes Dataset for Semantic Urban Scene Understanding
Marius Cordts
Mohamed Omran
Sebastian Ramos
Timo Rehfeld
Markus Enzweiler
Rodrigo Benenson
Uwe Franke
Stefan Roth
Bernt Schiele
1.1K
11,623
0
06 Apr 2016
SSD: Single Shot MultiBox Detector
SSD: Single Shot MultiBox Detector
Wen Liu
Dragomir Anguelov
D. Erhan
Christian Szegedy
Scott E. Reed
Cheng-Yang Fu
Alexander C. Berg
ObjDBDL
238
29,830
0
08 Dec 2015
Rethinking the Inception Architecture for Computer Vision
Rethinking the Inception Architecture for Computer Vision
Christian Szegedy
Vincent Vanhoucke
Sergey Ioffe
Jonathon Shlens
Z. Wojna
3DVBDL
883
27,373
0
02 Dec 2015
You Only Look Once: Unified, Real-Time Object Detection
You Only Look Once: Unified, Real-Time Object Detection
Joseph Redmon
S. Divvala
Ross B. Girshick
Ali Farhadi
ObjD
705
36,958
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 Networks
Shaoqing Ren
Kaiming He
Ross B. Girshick
Jian Sun
AIMatObjD
520
62,294
0
04 Jun 2015
Fast R-CNN
Fast R-CNN
Ross B. Girshick
ObjD
306
25,059
0
30 Apr 2015
Unsupervised Domain Adaptation by Backpropagation
Unsupervised Domain Adaptation by Backpropagation
Yaroslav Ganin
Victor Lempitsky
OOD
233
6,030
0
26 Sep 2014
Microsoft COCO: Common Objects in Context
Microsoft COCO: Common Objects in Context
Nayeon Lee
Michael Maire
Serge J. Belongie
Lubomir Bourdev
Ross B. Girshick
James Hays
Pietro Perona
Deva Ramanan
C. L. Zitnick
Piotr Dollár
ObjD
413
43,667
0
01 May 2014
Representation Learning: A Review and New Perspectives
Representation Learning: A Review and New Perspectives
Yoshua Bengio
Aaron Courville
Pascal Vincent
OODSSL
269
12,439
0
24 Jun 2012
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