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Domain Adaptive Faster R-CNN for Object Detection in the Wild

Domain Adaptive Faster R-CNN for Object Detection in the Wild

8 March 2018
Yuhua Chen
Wen Li
Daniel Gehrig
Dengxin Dai
Luc Van Gool
    OOD
    ObjD
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Papers citing "Domain Adaptive Faster R-CNN for Object Detection in the Wild"

21 / 221 papers shown
Title
Blending-target Domain Adaptation by Adversarial Meta-Adaptation
  Networks
Blending-target Domain Adaptation by Adversarial Meta-Adaptation Networks
Ziliang Chen
Jingyu Zhuang
Xiaodan Liang
Liang Lin
OOD
33
83
0
08 Jul 2019
Learning Deep Image Priors for Blind Image Denoising
Learning Deep Image Priors for Blind Image Denoising
Xianxu Hou
Hongming Luo
Jingxin Liu
Bolei Xu
Ke Sun
Yuanhao Gong
Bozhi Liu
Guoping Qiu
33
7
0
04 Jun 2019
Semi-Supervised Learning by Augmented Distribution Alignment
Semi-Supervised Learning by Augmented Distribution Alignment
Qin Wang
Wen Li
Luc Van Gool
23
68
0
20 May 2019
Object Detection in 20 Years: A Survey
Object Detection in 20 Years: A Survey
Zhengxia Zou
Keyan Chen
Zhenwei Shi
Yuhong Guo
Jieping Ye
VLM
ObjD
AI4TS
32
2,290
0
13 May 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
ViT
OOD
30
306
0
25 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
ObjD
OOD
TTA
16
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
23
131
0
22 Mar 2019
Transfer Adaptation Learning: A Decade Survey
Transfer Adaptation Learning: A Decade Survey
Lei Zhang
Xinbo Gao
OOD
58
184
0
12 Mar 2019
Deep Multi-modal Object Detection and Semantic Segmentation for
  Autonomous Driving: Datasets, Methods, and Challenges
Deep Multi-modal Object Detection and Semantic Segmentation for Autonomous Driving: Datasets, Methods, and Challenges
Di Feng
Christian Haase-Schuetz
Lars Rosenbaum
Heinz Hertlein
Claudius Gläser
Fabian Duffhauss
W. Wiesbeck
Klaus C. J. Dietmayer
3DPC
41
989
0
21 Feb 2019
Adversarial Adaptation of Scene Graph Models for Understanding Civic
  Issues
Adversarial Adaptation of Scene Graph Models for Understanding Civic Issues
Shanu Kumar
Shubham Atreja
Anjali Singh
Mohit Jain
22
12
0
29 Jan 2019
Revisiting Self-Supervised Visual Representation Learning
Revisiting Self-Supervised Visual Representation Learning
Alexander Kolesnikov
Xiaohua Zhai
Lucas Beyer
SSL
56
715
0
25 Jan 2019
Curriculum Model Adaptation with Synthetic and Real Data for Semantic
  Foggy Scene Understanding
Curriculum Model Adaptation with Synthetic and Real Data for Semantic Foggy Scene Understanding
Dengxin Dai
Daniel Gehrig
Simon Hecker
Luc Van Gool
37
140
0
05 Jan 2019
I Can See Clearly Now : Image Restoration via De-Raining
I Can See Clearly Now : Image Restoration via De-Raining
Horia Porav
Tom Bruls
Paul Newman
18
92
0
03 Jan 2019
DLOW: Domain Flow for Adaptation and Generalization
DLOW: Domain Flow for Adaptation and Generalization
R. Gong
Wen Li
Yuhua Chen
Luc Van Gool
OOD
AI4CE
42
350
0
13 Dec 2018
OMNIA Faster R-CNN: Detection in the wild through dataset merging and
  soft distillation
OMNIA Faster R-CNN: Detection in the wild through dataset merging and soft distillation
Alexandre Ramé
Emilien Garreau
H. Ben-younes
Charles Ollion
ObjD
43
17
0
06 Dec 2018
ADVENT: Adversarial Entropy Minimization for Domain Adaptation in
  Semantic Segmentation
ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation
Tuan-Hung Vu
Himalaya Jain
Max Bucher
Matthieu Cord
P. Pérez
40
1,280
0
30 Nov 2018
A Coarse-to-fine Deep Convolutional Neural Network Framework for Frame
  Duplication Detection and Localization in Forged Videos
A Coarse-to-fine Deep Convolutional Neural Network Framework for Frame Duplication Detection and Localization in Forged Videos
Chengjiang Long
Arslan Basharat
A. Hoogs
14
5
0
27 Nov 2018
Recent Advances in Object Detection in the Age of Deep Convolutional
  Neural Networks
Recent Advances in Object Detection in the Age of Deep Convolutional Neural Networks
Shivang Agarwal
Jean Ogier du Terrail
F. Jurie
ObjD
24
123
0
10 Sep 2018
Improved Techniques for Learning to Dehaze and Beyond: A Collective
  Study
Improved Techniques for Learning to Dehaze and Beyond: A Collective Study
Yu Liu
Guanlong Zhao
Boyuan Gong
Yong Li
Ritu Raj
...
Satya Kesav
Sandeep Gottimukkala
Zhangyang Wang
Wenqi Ren
Dacheng Tao
VLM
48
40
0
30 Jun 2018
Deep Generative Models in the Real-World: An Open Challenge from Medical
  Imaging
Deep Generative Models in the Real-World: An Open Challenge from Medical Imaging
Xiaoran Chen
Nick Pawlowski
Martin Rajchl
Ben Glocker
E. Konukoglu
OOD
MedIm
22
49
0
14 Jun 2018
End-to-End Learning of Driving Models with Surround-View Cameras and
  Route Planners
End-to-End Learning of Driving Models with Surround-View Cameras and Route Planners
Simon Hecker
Dengxin Dai
Luc Van Gool
27
164
0
27 Mar 2018
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