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The power of DNNs relies heavily on the quantity and quality of training data.
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Imagenet: A large-scale hierarchical image database
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Deep residual learning for image recognition
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Unsupervised deep embedding for clustering analysis
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Improved regularization of convolutional neural networks with cutout
Terrance DeVries and Graham W Taylor · 2017
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Arbitrary style transfer in real-time with adaptive instance normalization
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Image-to-image translation with conditional adversarial networks
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Active learning for convolutional neural networks: A core-set approach
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Adversarial discriminative domain adaptation
Eric Tzeng, Judy Hoffman, Kate Saenko, and Trevor Darrell · 2017
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Aggregated residual transformations for deep neural networks
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Mobilenetv2: Inverted residuals and linear bottlenecks
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Tongzhou Wang, Jun-Yan Zhu, Antonio Torralba, and Alexei A Efros · 2018
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Jang Hyun Cho and Bharath Hariharan · 2019
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Ekin D Cubuk, Barret Zoph, Dandelion Mane, Vijay Vasudevan, and Quoc V Le · 2019
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Dan Hendrycks and Thomas Dietterich · 2019
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Augmix: A simple data processing method to improve robustness and uncertainty
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Predicting survival from colorectal cancer histology slides using deep learning: A retrospective multicenter study
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An introduction to variational autoencoders
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Active generative adversarial network for image classification
Quan Kong, Bin Tong, Martin Klinkigt, Yuki Watanabe, Naoto Akira, and Tomokazu Murakami · 2019
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Delta: Deep learning transfer using feature map with attention for convolutional networks
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Fast autoaugment
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Transfusion: Understanding transfer learning for medical imaging
Maithra Raghu, Chiyuan Zhang, Jon Kleinberg, and Samy Bengio · 2019
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Data augmentation using generative adversarial networks (cyclegan) to improve generalizability in ct segmentation tasks
Veit Sandfort, Ke Yan, Perry J Pickhardt, and Ronald M Summers · 2019
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A survey on image data augmentation for deep learning
Connor Shorten and Taghi M Khoshgoftaar · 2019
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Neuroscience of imagination and implications for human evolution
Andrey Vyshedskiy · 2019
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Efficient multiple organ localization in ct image using 3d region proposal network
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Ea-gans: edge-aware generative adversarial networks for cross-modality mr image synthesis
Biting Yu, Luping Zhou, Lei Wang, Yinghuan Shi, Jurgen Fripp, and Pierrick Bourgeat · 2019
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Cutmix: Regularization strategy to train strong classifiers with localizable features
Sangdoo Yun, Dongyoon Han, Seong Joon Oh, Sanghyuk Chun, Junsuk Choe, and Youngjoon Yoo · 2019
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Dataset of breast ultrasound images
Walid Al-Dhabyani, Mohammed Gomaa, Hussien Khaled, and Aly Fahmy · 2020
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Dataset condensation with gradient matching
Bo Zhao, Konda Reddy Mopuri, and Hakan Bilen · 2021
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Coyo-700m: Image-text pair dataset, 2022
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Randaugment: Practical automated data augmentation with a reduced search space
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Denoising diffusion probabilistic models
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Ren Jiawei, Cunjun Yu, Xiao Ma, Haiyu Zhao, Shuai Yi, et al · 2020
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Fencemask: A data augmentation approach for pre-extracted image features
Pu Li, Xiangyang Li, and Xiang Long · 2020
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Nerf: Representing scenes as neural radiance fields for view synthesis
B Mildenhall, PP Srinivasan, M Tancik, JT Barron, R Ramamoorthi, and R Ng · 2020
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Small data challenges in big data era: A survey of recent progress on unsupervised and semi-supervised methods
Guo-Jun Qi and Jiebo Luo · 2020
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