Fetching the paper…
Reading the bibliography…
Recent years have witnessed great progress in deep learning based object detection.
Rapid object detection using a boosted cascade of simple features
P. Viola and M. Jones · 2001
Earlier work this paper cites.
Adapting object detectors via selective cross-domain alignment
X. Zhu, J. Pang, C. Yang, J. Shi, and D. Lin · 2003
Earlier work this paper cites.
Histograms of oriented gradients for human detection
N. Dalal and B. Triggs · 2005
Earlier work this paper cites.
Analysis of representations for domain adaptation
S. Ben-David, J. Blitzer, K. Crammer, and F. Pereira · 2007
Earlier work this paper cites.
A discriminatively trained, multiscale, deformable part model
P. Felzenszwalb, D. McAllester, and D. Ramanan · 2008
Earlier work this paper cites.
A kernel method for the two-sample problem
A. Gretton, K. Borgwardt, M. J. Rasch, B. Scholkopf, and A. J. Smola · 2008
Earlier work this paper cites.
Imagenet: A large-scale hierarchical image database
J. Deng, W. Dong, R. Socher, L.-J. Li, K. Li, and L. Fei-Fei · 2009
Earlier work this paper cites.
A theory of learning from different domains
S. Ben-David, J. Blitzer, K. Crammer, A. Kulesza, F. Pereira, and J. W. Vaughan · 2010
Earlier work this paper cites.
A survey on transfer learning
S. J. Pan and Q. Yang · 2010
Earlier work this paper cites.
Domain adaptation for object recognition: An unsupervised approach
R. Gopalan, R. Li, and R. Chellappa · 2011
Earlier work this paper cites.
Unbiased look at dataset bias
A. Torralba and A. A. Efros · 2011
Earlier work this paper cites.
Automatic adaptation of a generic pedestrian detector to a specific traffic scene
M. Wang and X. Wang · 2011
Earlier work this paper cites.
Are we ready for autonomous driving? the kitti vision benchmark suite
A. Geiger, P. Lenz, and R. Urtasun · 2012
Earlier work this paper cites.
Diagnosing error in object detectors
D. Hoiem, Y. Chodpathumwan, and Q. Dai · 2012
Earlier work this paper cites.
Unsupervised domain adaptation of virtual and real worlds for pedestrian detection
D. Vázquez, A. M. López, and D. Ponsa · 2012
Earlier work this paper cites.
Domain adaptive object detection
F. Mirrashed, V. I. Morariu, B. Siddiquie, R. S. Feris, and L. S. Davis · 2013
Earlier work this paper cites.
Rich feature hierarchies for accurate object detection and semantic segmentation
R. Girshick, J. Donahue, T. Darrell, and J. Malik · 2014
Earlier work this paper cites.
Adam: A method for stochastic optimization
D. P. Kingma and J. Ba · 2014
Earlier work this paper cites.
Microsoft coco: Common objects in context
T.-Y. Lin, M. Maire, S. Belongie, J. Hays, P. Perona, D. Ramanan, P. Dollár, and C. L. Zitnick · 2014
Earlier work this paper cites.
Transfer feature learning with joint distribution adaptation
M. Long, J. Wang, G. Ding, J. Sun, and P. S. Yu · 2014
Earlier work this paper cites.
Very deep convolutional networks for large-scale image recognition
K. Simonyan and A. Zisserman · 2014
Earlier work this paper cites.
Deep domain confusion: Maximizing for domain invariance
E. Tzeng, J. Hoffman, N. Zhang, K. Saenko, and T. Darrell · 2014
Earlier work this paper cites.
Domain adaptation of deformable part-based models
J. Xu, S. Ramos, D. Vázquez, and A. M. López · 2014
Earlier work this paper cites.
Unsupervised domain adaptation by backpropagation
Y. Ganin and V. Lempitsky · 2015
Earlier work this paper cites.
Fast r-cnn
R. Girshick · 2015
Earlier work this paper cites.
Fully convolutional networks for semantic segmentation
J. Long, E. Shelhamer, and T. Darrell · 2015
Cited alongside, same era.
Learning transferable features with deep adaptation networks
M. Long, Y. Cao, J. Wang, and M. I. Jordan · 2015
Cited alongside, same era.
Subspace alignment based domain adaptation for rcnn detector
A. Raj, V. Namboodiri, and T. Tuytelaars · 2015
Cited alongside, same era.
The cityscapes dataset for semantic urban scene understanding
M. Cordts, M. Omran, S. Ramos, T. Rehfeld, M. Enzweiler, R. Benenson, U. Franke, S. Roth, and B. Schiele · 2016
Cited alongside, same era.
Deep residual learning for image recognition
K. He, X. Zhang, S. Ren, and J. Sun · 2016
Cited alongside, same era.
Ssd: Single shot multibox detector
W. Liu, D. Anguelov, D. Erhan, C. Szegedy, S. Reed, C. Y. Fu, and A. C. Berg · 2016
Cited alongside, same era.
Semantic foggy scene understanding with synthetic data
C. Sakaridis, D. Dai, and L. Van Gool · 2018
Later among the works it cites.
Learning semantic representations for unsupervised domain adaptation
S. Xie, Z. Zheng, L. Chen, and C. Chen · 2018
Later among the works it cites.
Exploring object relation in mean teacher for cross-domain detection
Q. Cai, Y. Pan, C.-W. Ngo, X. Tian, L. Duan, and T. Yao · 2019
Later among the works it cites.
Progressive feature alignment for unsupervised domain adaptation
C. Chen, W. Xie, W. Huang, Y. Rong, X. Ding, Y. Huang, T. Xu, and J. Huang · 2019
Later among the works it cites.
Domain adaptation for semantic segmentation with maximum squares loss
M. Chen, H. Xue, and D. Cai · 2019
Later among the works it cites.
Temporal attentive alignment for large-scale video domain adaptation
M.-H. Chen, Z. Kira, G. AlRegib, J. Yoo, R. Chen, and J. Zheng · 2019
alphaXiv searches the wider corpus for related work and actual follow-ups.
alphaXiv is searching for related work…
You only look once: Unified, real-time object detection
J. Redmon, S. Divvala, R. Girshick, and A. Farhadi · 2016
Cited alongside, same era.
Deep coral: Correlation alignment for deep domain adaptation
B. Sun and K. Saenko · 2016
Cited alongside, same era.
Unsupervised pixel-level domain adaptation with generative adversarial networks
K. Bousmalis, N. Silberman, D. Dohan, D. Erhan, and D. Krishnan · 2017
Cited alongside, same era.
Driving in the matrix: Can virtual worlds replace human-generated annotations for real world tasks?
M. Johnson-Roberson, C. Barto, R. Mehta, S. N. Sridhar, K. Rosaen, and R. Vasudevan · 2017
Cited alongside, same era.
Feature pyramid networks for object detection
T.-Y. Lin, P. Dollár, R. Girshick, K. He, B. Hariharan, and S. Belongie · 2017
Cited alongside, same era.
Focal loss for dense object detection
T.-Y. Lin, P. Goyal, R. Girshick, K. He, and P. Dollár · 2017
Cited alongside, same era.
Later among the works it cites.
Self-similarity grouping: A simple unsupervised cross domain adaptation approach for person re-identification
Y. Fu, Y. Wei, G. Wang, Y. Zhou, H. Shi, and T. S. Huang · 2019
Later among the works it cites.
Multi-adversarial faster-rcnn for unrestricted object detection
Z. He and L. Zhang · 2019
Later among the works it cites.
Progressive domain adaptation for object detection
H.-K. Hsu, W.-C. Hung, H.-Y. Tseng, C.-H. Yao, Y.-H. Tsai, M. Singh, and M.-H. Yang · 2019
Later among the works it cites.
Contrastive adaptation network for unsupervised domain adaptation
G. Kang, L. Jiang, Y. Yang, and A. G. Hauptmann · 2019
Later among the works it cites.
Dual student: Breaking the limits of the teacher in semi-supervised learning
Z. Ke, D. Wang, Q. Yan, J. Ren, and R. W. Lau · 2019
Later among the works it cites.
A robust learning approach to domain adaptive object detection
M. Khodabandeh, A. Vahdat, M. Ranjbar, and W. G. Macready · 2019
Later among the works it cites.
Self-training and adversarial background regularization for unsupervised domain adaptive one-stage object detection
S. Kim, J. Choi, T. Kim, and C. Kim · 2019
Later among the works it cites.
Diversify and match: A domain adaptive representation learning paradigm for object detection
T. Kim, M. Jeong, S. Kim, S. Choi, and C. Kim · 2019
Later among the works it cites.
Significance-aware information bottleneck for domain adaptive semantic segmentation
Y. Luo, P. Liu, T. Guan, J. Yu, and Y. Yang · 2019
Later among the works it cites.
Taking a closer look at domain shift: Category-level adversaries for semantics consistent domain adaptation
Y. Luo, L. Zheng, T. Guan, J. Yu, and Y. Yang · 2019
Later among the works it cites.
Transferrable prototypical networks for unsupervised domain adaptation
Y. Pan, T. Yao, Y. Li, Y. Wang, C.-W. Ngo, and T. Mei · 2019
Later among the works it cites.
Domain adaptation for object detection via style consistency
A. L. Rodriguez and K. Mikolajczyk · 2019
Later among the works it cites.
Strong-weak distribution alignment for adaptive object detection
K. Saito, Y. Ushiku, T. Harada, and K. Saenko · 2019
Later among the works it cites.
Z. Shen, H. Maheshwari, W. Yao, and M. Savvides · 2019
Later among the works it cites.
Advent: Adversarial entropy minimization for domain adaptation in semantic segmentation
T.-H. Vu, H. Jain, M. Bucher, M. Cord, and P. Perez · 2019
Later among the works it cites.
Multi-level domain adaptive learning for cross-domain detection
R. Xie, F. Yu, J. Wang, Y. Wang, and L. Zhang · 2019
Later among the works it cites.
Wasserstein distance based domain adaptation for object detection
P. Xu, P. Gurram, G. Whipps, and R. Chellappa · 2019
Later among the works it cites.
Geometry-aware symmetric domain adaptation for monocular depth estimation
S. Zhao, H. Fu, M. Gong, and D. Tao · 2019
Later among the works it cites.