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Papers for “imagenet”

Find papers, implementations, and the benchmark evidence behind state-of-the-art AI systems.

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TitleAuthorsYearSource
Self-Attention Generative Adversarial NetworksHan Zhang, Ian Goodfellow, Dimitris Metaxas2018arxiv 1805.08318
Metropolis-Hastings view on variational inference and adversarial trainingKirill Neklyudov, Evgenii Egorov, Pavel Shvechikov2018arxiv 1810.07151
Making Convolutional Networks Shift-Invariant AgainRichard Zhang2019arxiv 1904.11486
Progressive Sparse Local Attention for Video object detectionChaoxu Guo, Bin Fan, Jie Gu2019arxiv 1903.09126
Learning Compositional Representations for Few-Shot RecognitionPavel Tokmakov, Yu-Xiong Wang, Martial Hebert2018arxiv 1812.09213
Improved Techniques for Training Adaptive Deep NetworksHao Li, Hong Zhang, Xiaojuan Qi2019arxiv 1908.06294
ViCo: Word Embeddings from Visual Co-occurrencesTanmay Gupta, Alexander Schwing, Derek Hoiem2019arxiv 1908.08527
EvalNorm: Estimating Batch Normalization Statistics for EvaluationSaurabh Singh, Abhinav Shrivastava2019arxiv 1904.06031
Adaptive Regularization of LabelsQianggang Ding, Sifan Wu, Hao Sun2019arxiv 1908.05474
White-Box Adversarial Defense via Self-Supervised Data EstimationZudi Lin, Hanspeter Pfister, Ziming Zhang2019arxiv 1909.06271
RASNet: Segmentation for Tracking Surgical Instruments in Surgical Videos Using Refined Attention Segmentation NetworkZhen-Liang Ni, Gui-Bin Bian, Xiao-Liang Xie2019arxiv 1905.08663
This dataset does not exist: training models from generated imagesVictor Besnier, Himalaya Jain, Andrei Bursuc2019arxiv 1911.02888
Trainable Spectrally Initializable Matrix Transformations in Convolutional Neural NetworksMichele Alberti, Angela Botros, Narayan Schuez2019arxiv 1911.05045
Full deep neural network training on a pruned weight budgetMaximilian Golub, Guy Lemieux, Mieszko Lis2018arxiv 1806.06949
Unsupervised Visual Representation Learning with Increasing Object Shape BiasZhibo Wang, Shen Yan, Xiaoyu Zhang2019arxiv 1911.07272
An Adaptive View of Adversarial Robustness from Test-time Smoothing DefenseChao Tang, Yifei Fan, Anthony Yezzi2019arxiv 1911.11881
Interpreting Undesirable Pixels for Image Classification on Black-Box ModelsSin-Han Kang, Hong-Gyu Jung, Seong-Whan Lee2019arxiv 1909.12446
Taxonomy and Evaluation of Structured Compression of Convolutional Neural NetworksAndrey Kuzmin, Markus Nagel, Saurabh Pitre2019arxiv 1912.09802
HandAugment: A Simple Data Augmentation Method for Depth-Based 3D Hand Pose EstimationZhaohui Zhang, Shipeng Xie, Mingxiu Chen2020arxiv 2001.00702
Radioactive data: tracing through trainingAlexandre Sablayrolles, Matthijs Douze, Cordelia Schmid2020arxiv 2002.00937