Learning adaptive geometry for unsupervised domain adaptation
Tài liệu tham khảo
Tzeng, 2017, Adversarial discriminative domain adaptation, 7167
Bozorgtabar, 2020, ExprADA: adversarial domain adaptation for facial expression analysis, vol. 100, 107111
Gong, 2013, Connecting the dots with landmarks: discriminatively learning domain-invariant features for unsupervised domain adaptation, 222
Xu, 2014, Domain adaptation of deformable part-based models, vol. 36, 2367
Long, 2018, Transferable representation learning with deep adaptation networks, vol. 41, 3071
Sankaran, 2020, Domain adaptive representation learning for facial action unit recognition, vol. 102, 107127
Gong, 2019, DLOW: Domain flow for adaptation and generalization, 2477
Tenenbaum, 2000, A global geometric framework for nonlinear dimensionality reduction, vol. 290, 2319
Lin, 2008, Riemannian manifold learning, vol. 30, 796
Long, 2018, Conditional adversarial domain adaptation, 1640
Tung, 2019, Similarity-preserving knowledge distillation, 1365
Shao, 2018, Feature constrained by pixel: hierarchical adversarial deep domain adaptation, 220
Leordeanu, 2012, Unsupervised learning for graph matching, vol. 96, 28
Wu, 2020, Geometric knowledge embedding for unsupervised domain adaptation, vol. 191, 105155
Luo, 2020, Discriminative and geometry-aware unsupervised domain adaptation
Yang, 2019, Cross-domain visual representations via unsupervised graph alignment, vol. 33, 5613
Gong, 2012, Overcoming dataset bias: an unsupervised domain adaptation approach, vol. 3
Liang, 2019, Exploring uncertainty in pseudo-label guided unsupervised domain adaptation, vol. 96, 106996
Yang, 2007, Cross-domain video concept detection using adaptive SVMs, 188
Xie, 2016, Unsupervised deep embedding for clustering analysis, 478
Long, 2015, Learning transferable features with deep adaptation networks, 97
Yang, 2018, Learning domain-shared group-sparse representation for unsupervised domain adaptation, vol. 81, 615
Gretton, 2007, A kernel method for the two-sample-problem, 513
Sun, 2016, Deep coral: correlation alignment for deep domain adaptation, 443
Gong, 2012, Geodesic flow kernel for unsupervised domain adaptation, 2066
Fernando, 2013, Unsupervised visual domain adaptation using subspace alignment, 2960
Lu, 2015, Incremental dictionary learning for unsupervised domain adaptation
Rahman, 2019, Correlation-aware adversarial domain adaptation and generalization, 107124
Wang, 2018, Visual domain adaptation with manifold embedded distribution alignment, 402
Ding, 2018, Graph adaptive knowledge transfer for unsupervised domain adaptation, 37
Jing, 2017, Joint geometrical and statistical alignment for visual domain adaptation, 1859
Ham, 2004, A kernel view of the dimensionality reduction of manifolds, 47
Cui, 2014, Generalized unsupervised manifold alignment, 2429
Gretton, 2012, A kernel two-sample test, vol. 13, 723
Netzer, 2011, Reading digits in natural images with unsupervised feature learning
Yan, 2017, Mind the class weight bias: weighted maximum mean discrepancy for unsupervised domain adaptation, 2272
Venkateswara, 2017, Deep hashing network for unsupervised domain adaptation, 5018
Nguyen, 2017, Person recognition system based on a combination of body images from visible light and thermal cameras, vol. 17, 605
Ye, 2018, Hierarchical discriminative learning for visible thermal person re-identification, 7501
Peng, 2018, VisDA: a synthetic-to-real benchmark for visual domain adaptation, 2021
LeCun, 1998, Gradient-based learning applied to document recognition, vol. 86, 2278
He, 2016, Deep residual learning for image recognition, 770
Krizhevsky, 2012, ImageNet classification with deep convolutional neural networks, 1097
Saito, 2018, Maximum classifier discrepancy for unsupervised domain adaptation, 3723
Xu, 2019, d-SNE: domain adaptation using stochastic neighborhood embedding, 2497
Lee, 2019, Sliced Wasserstein discrepancy for unsupervised domain adaptation, 10285
Moore, 2011, Local binary patterns for multi-view facial expression recognition, vol. 115, 541
Dalal, 2005, Histograms of oriented gradients for human detection, vol. 1, 886
Panareda Busto, 2017, Open set domain adaptation, 754
Maaten, 2008, Visualizing data using t-SNE, vol. 9, 2579