暂无分享,去创建一个
[1] Quoc V. Le,et al. Measuring Invariances in Deep Networks , 2009, NIPS.
[2] Quoc V. Le,et al. Randaugment: Practical automated data augmentation with a reduced search space , 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW).
[3] Oriol Vinyals,et al. Neural Discrete Representation Learning , 2017, NIPS.
[4] Xi Wang,et al. High-Resolution Stereo Datasets with Subpixel-Accurate Ground Truth , 2014, GCPR.
[5] Christopher C. Pack,et al. The functional specialization of visual cortex emerges from training parallel pathways with self-supervised predictive learning , 2021, bioRxiv.
[6] Geoffrey E. Hinton,et al. Big Self-Supervised Models are Strong Semi-Supervised Learners , 2020, NeurIPS.
[7] John A. Perrone,et al. Using the Properties of Primate Motion Sensitive Neurons to Extract Camera Motion and Depth from Brief 2-D Monocular Image Sequences , 2019, CAIP.
[8] Gertjan J. Burghouts,et al. Material-specific adaptation of color invariant features , 2009, Pattern Recognit. Lett..
[9] Michael S. Brown,et al. Learning Multi-Scale Photo Exposure Correction , 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[10] Alex Krizhevsky,et al. Learning Multiple Layers of Features from Tiny Images , 2009 .
[11] Sameer A. Nene,et al. Columbia Object Image Library (COIL100) , 1996 .
[12] Yingli Tian,et al. Self-Supervised Visual Feature Learning With Deep Neural Networks: A Survey , 2019, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[13] Taghi M. Khoshgoftaar,et al. A survey on Image Data Augmentation for Deep Learning , 2019, Journal of Big Data.
[14] Cordelia Schmid,et al. A performance evaluation of local descriptors , 2005, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[15] Li Fei-Fei,et al. ImageNet: A large-scale hierarchical image database , 2009, CVPR.
[16] Phillip Isola,et al. Understanding Contrastive Representation Learning through Alignment and Uniformity on the Hypersphere , 2020, ICML.
[17] Xiaogang Wang,et al. Deep Learning Face Attributes in the Wild , 2014, 2015 IEEE International Conference on Computer Vision (ICCV).
[18] M. Goodale,et al. Separate visual pathways for perception and action , 1992, Trends in Neurosciences.
[19] Luigi Gresele,et al. Self-Supervised Learning with Data Augmentations Provably Isolates Content from Style , 2021, NeurIPS.
[20] Pietro Perona,et al. Learning Generative Visual Models from Few Training Examples: An Incremental Bayesian Approach Tested on 101 Object Categories , 2004, 2004 Conference on Computer Vision and Pattern Recognition Workshop.
[21] Jian Sun,et al. Deep Residual Learning for Image Recognition , 2015, 2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR).
[22] Michal Valko,et al. Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning , 2020, NeurIPS.
[23] Francesc Moreno-Noguer,et al. DaLI: Deformation and Light Invariant Descriptor , 2015, International Journal of Computer Vision.
[24] Timothy M. Hospedales,et al. Self-Supervised Representation Learning: Introduction, advances, and challenges , 2021, IEEE Signal Processing Magazine.
[25] Timothy M. Hospedales,et al. How Well Do Self-Supervised Models Transfer? , 2020, ArXiv.
[26] Kaiming He,et al. Improved Baselines with Momentum Contrastive Learning , 2020, ArXiv.
[27] Kunihiko Fukushima,et al. Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position , 1980, Biological Cybernetics.
[28] Natalia Gimelshein,et al. PyTorch: An Imperative Style, High-Performance Deep Learning Library , 2019, NeurIPS.
[29] Sergey Levine,et al. End-to-End Learning of Semantic Grasping , 2017, CoRL.
[30] Sunghyun Cho,et al. Real-World Blur Dataset for Learning and Benchmarking Deblurring Algorithms , 2020, ECCV.
[31] Michael J. Cree,et al. Estimating heading direction from monocular video sequences using biologically-based sensors , 2016, 2016 International Conference on Image and Vision Computing New Zealand (IVCNZ).
[32] David C. Noelle,et al. Ventral-Dorsal Neural Networks: Object Detection Via Selective Attention , 2020, 2019 IEEE Winter Conference on Applications of Computer Vision (WACV).
[33] Max Welling,et al. Gauge Equivariant Convolutional Networks and the Icosahedral CNN 1 , 2019 .
[34] Serge Belongie,et al. Benchmarking Representation Learning for Natural World Image Collections , 2021, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[35] Valerio Biscione,et al. Learning Translation Invariance in CNNs , 2020, ArXiv.
[36] Abhinav Gupta,et al. Demystifying Contrastive Self-Supervised Learning: Invariances, Augmentations and Dataset Biases , 2020, NeurIPS.
[37] Mark Everingham,et al. Clustered Pose and Nonlinear Appearance Models for Human Pose Estimation , 2010, BMVC.
[38] Arnold W. M. Smeulders,et al. The Amsterdam Library of Object Images , 2004, International Journal of Computer Vision.
[39] Junnan Li,et al. Prototypical Contrastive Learning of Unsupervised Representations , 2020, ICLR.
[40] Quoc V. Le,et al. AutoAugment: Learning Augmentation Policies from Data , 2018, ArXiv.
[41] Sinan Kalkan,et al. Deep Hierarchies in the Primate Visual Cortex: What Can We Learn for Computer Vision? , 2013, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[42] Yann LeCun,et al. Barlow Twins: Self-Supervised Learning via Redundancy Reduction , 2021, ICML.
[43] Geoff Wyvill,et al. SIFT and SURF Performance Evaluation against Various Image Deformations on Benchmark Dataset , 2011, 2011 International Conference on Digital Image Computing: Techniques and Applications.
[44] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[45] Max Welling,et al. Group Equivariant Convolutional Networks , 2016, ICML.
[46] Kaiming He,et al. Momentum Contrast for Unsupervised Visual Representation Learning , 2019, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[47] Yuanzhi Li,et al. Toward Understanding the Feature Learning Process of Self-supervised Contrastive Learning , 2021, ICML.
[48] Alexei A. Efros,et al. What Should Not Be Contrastive in Contrastive Learning , 2020, ICLR.
[49] Andrew Zisserman,et al. Automated Flower Classification over a Large Number of Classes , 2008, 2008 Sixth Indian Conference on Computer Vision, Graphics & Image Processing.
[50] Julien Mairal,et al. Unsupervised Learning of Visual Features by Contrasting Cluster Assignments , 2020, NeurIPS.
[51] Geoffrey E. Hinton,et al. Dynamic Routing Between Capsules , 2017, NIPS.
[52] Xinlei Chen,et al. Exploring Simple Siamese Representation Learning , 2020, 2021 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[53] Pietro Perona,et al. Microsoft COCO: Common Objects in Context , 2014, ECCV.
[54] Geoffrey E. Hinton,et al. A Simple Framework for Contrastive Learning of Visual Representations , 2020, ICML.
[55] J. V. Gemert,et al. On Translation Invariance in CNNs: Convolutional Layers Can Exploit Absolute Spatial Location , 2020, 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
[56] Georg Heigold,et al. An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale , 2021, ICLR.