Unsupervised Feature Learning by Cross-Level Discrimination between Instances and Groups
暂无分享,去创建一个
[1] Ali Razavi,et al. Data-Efficient Image Recognition with Contrastive Predictive Coding , 2019, ICML.
[2] Alexander A. Alemi,et al. On Variational Bounds of Mutual Information , 2019, ICML.
[3] R Devon Hjelm,et al. Learning Representations by Maximizing Mutual Information Across Views , 2019, NeurIPS.
[4] Stella X. Yu,et al. Unsupervised Feature Learning via Non-parametric Instance Discrimination , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[5] Jieping Ye,et al. Discriminative K-means for Clustering , 2007, NIPS.
[6] Paolo Favaro,et al. Self-Supervised Feature Learning by Learning to Spot Artifacts , 2018, 2018 IEEE/CVF Conference on Computer Vision and Pattern Recognition.
[7] Chen Change Loy,et al. Online Deep Clustering for Unsupervised Representation Learning , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[8] Gregory Shakhnarovich,et al. Colorization as a Proxy Task for Visual Understanding , 2017, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[9] Dhruv Batra,et al. Joint Unsupervised Learning of Deep Representations and Image Clusters , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[10] Yi Yang,et al. Image Clustering Using Local Discriminant Models and Global Integration , 2010, IEEE Transactions on Image Processing.
[11] Trevor Darrell,et al. Adversarial Feature Learning , 2016, ICLR.
[12] Alexei A. Efros,et al. Unsupervised Visual Representation Learning by Context Prediction , 2015, 2015 IEEE International Conference on Computer Vision (ICCV).
[13] Laurens van der Maaten,et al. Self-Supervised Learning of Pretext-Invariant Representations , 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[14] Stella X. Yu,et al. SegSort: Segmentation by Discriminative Sorting of Segments , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[15] Stella X. Yu,et al. Finding dots: Segmentation as popping out regions from boundaries , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition.
[16] Shih-Fu Chang,et al. Unsupervised Embedding Learning via Invariant and Spreading Instance Feature , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[17] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[18] Ross B. Girshick,et al. Focal Loss for Dense Object Detection , 2017, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[19] Jeff Donahue,et al. Large Scale Adversarial Representation Learning , 2019, NeurIPS.
[20] Michael Tschannen,et al. On Mutual Information Maximization for Representation Learning , 2019, ICLR.
[21] Enhong Chen,et al. Learning Deep Representations for Graph Clustering , 2014, AAAI.
[22] Honglak Lee,et al. An Analysis of Single-Layer Networks in Unsupervised Feature Learning , 2011, AISTATS.
[23] Takeo Kanade,et al. Discriminative cluster analysis , 2006, ICML.
[24] Oriol Vinyals,et al. Representation Learning with Contrastive Predictive Coding , 2018, ArXiv.
[25] Alexei A. Efros,et al. Colorful Image Colorization , 2016, ECCV.
[26] Kilian Q. Weinberger,et al. Densely Connected Convolutional Networks , 2016, 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[27] Taesup Kim,et al. Fast AutoAugment , 2019, NeurIPS.
[28] Jianbo Shi,et al. Understanding popout through repulsion , 2001, Proceedings of the 2001 IEEE Computer Society Conference on Computer Vision and Pattern Recognition. CVPR 2001.
[29] Jana Kosecka,et al. Multiview RGB-D Dataset for Object Instance Detection , 2016, 2016 Fourth International Conference on 3D Vision (3DV).
[30] Xu Ji,et al. Invariant Information Clustering for Unsupervised Image Classification and Segmentation , 2019 .
[31] Aapo Hyvärinen,et al. Noise-Contrastive Estimation of Unnormalized Statistical Models, with Applications to Natural Image Statistics , 2012, J. Mach. Learn. Res..
[32] Kaiming He,et al. Momentum Contrast for Unsupervised Visual Representation Learning , 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[33] Yann LeCun,et al. Dimensionality Reduction by Learning an Invariant Mapping , 2006, 2006 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR'06).
[34] Ivor W. Tsang,et al. Spectral Embedded Clustering: A Framework for In-Sample and Out-of-Sample Spectral Clustering , 2011, IEEE Transactions on Neural Networks.
[35] Thomas Brox,et al. Discriminative Unsupervised Feature Learning with Exemplar Convolutional Neural Networks , 2014, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[36] Dahua Lin,et al. Self-Supervised Learning via Conditional Motion Propagation , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[37] Joydeep Ghosh,et al. Cluster Ensembles --- A Knowledge Reuse Framework for Combining Multiple Partitions , 2002, J. Mach. Learn. Res..
[38] Ross B. Girshick,et al. Mask R-CNN , 2017, 1703.06870.
[39] Jianbo Shi,et al. Segmentation with Pairwise Attraction and Repulsion , 2001, ICCV.
[40] Cordelia Schmid,et al. Contrastive Bidirectional Transformer for Temporal Representation Learning , 2019, ArXiv.
[41] Ali Farhadi,et al. Unsupervised Deep Embedding for Clustering Analysis , 2015, ICML.
[42] Phillip Isola,et al. Contrastive Multiview Coding , 2019, ECCV.
[43] Li Fei-Fei,et al. ImageNet: A large-scale hierarchical image database , 2009, CVPR.
[44] Nikos Komodakis,et al. Unsupervised Representation Learning by Predicting Image Rotations , 2018, ICLR.
[45] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[46] Geoffrey E. Hinton,et al. A Simple Framework for Contrastive Learning of Visual Representations , 2020, ICML.
[47] Chengxu Zhuang,et al. Local Aggregation for Unsupervised Learning of Visual Embeddings , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[48] Yoshua Bengio,et al. Learning deep representations by mutual information estimation and maximization , 2018, ICLR.
[49] Julien Mairal,et al. Unsupervised Pre-Training of Image Features on Non-Curated Data , 2019, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[50] Alex Krizhevsky,et al. Learning Multiple Layers of Features from Tiny Images , 2009 .
[51] Luc Van Gool,et al. The Pascal Visual Object Classes (VOC) Challenge , 2010, International Journal of Computer Vision.
[52] Paolo Favaro,et al. Unsupervised Learning of Visual Representations by Solving Jigsaw Puzzles , 2016, ECCV.
[53] Stella X. Yu,et al. Large-Scale Long-Tailed Recognition in an Open World , 2019, 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[54] Matthijs Douze,et al. Deep Clustering for Unsupervised Learning of Visual Features , 2018, ECCV.
[55] Xu Ji,et al. Invariant Information Clustering for Unsupervised Image Classification and Segmentation , 2018, 2019 IEEE/CVF International Conference on Computer Vision (ICCV).
[56] Pietro Perona,et al. Object detection and segmentation from joint embedding of parts and pixels , 2011, 2011 International Conference on Computer Vision.
[57] Kaiming He,et al. Improved Baselines with Momentum Contrastive Learning , 2020, ArXiv.
[58] Liam Paninski,et al. Estimation of Entropy and Mutual Information , 2003, Neural Computation.
[59] Laurens van der Maaten,et al. Learning a Parametric Embedding by Preserving Local Structure , 2009, AISTATS.
[60] Kaiming He,et al. Focal Loss for Dense Object Detection , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[61] Andrew Zisserman,et al. Multi-task Self-Supervised Visual Learning , 2017, 2017 IEEE International Conference on Computer Vision (ICCV).
[62] Jianhong Wu,et al. Data clustering - theory, algorithms, and applications , 2007 .
[63] Ulrike von Luxburg,et al. A tutorial on spectral clustering , 2007, Stat. Comput..
[64] Alexei A. Efros,et al. Context Encoders: Feature Learning by Inpainting , 2016, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).