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Transformer-based architectures have become competitive across a variety of visual domains, most notably images and videos.
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ImageNet Large Scale Visual Recognition Challenge
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Convolutional two-stream network fusion for video action recognition
Christoph Feichtenhofer, Axel Pinz, and Andrew Zisserman · 2016
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Christian Szegedy, Vincent Vanhoucke, Sergey Ioffe, Jon Shlens, and Zbigniew Wojna · 2016
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Quo vadis, action recognition? A new model and the kinetics dataset
João Carreira and Andrew Zisserman · 2017
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The “something something” video database for learning and evaluating visual common sense
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The kinetics human action video dataset
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Attention is all you need
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Deep clustering for unsupervised learning of visual features
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BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova · 2018
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The inaturalist species classification and detection dataset
Grant Van Horn, Oisin Mac Aodha, Yang Song, Yin Cui, Chen Sun, Alex Shepard, Hartwig Adam, Pietro Perona, and Serge Belongie · 2018
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Aaron van den Oord, Yazhe Li, and Oriol Vinyals · 2018
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Audio-visual scene analysis with self-supervised multisensory features
Andrew Owens and Alexei A Efros · 2018
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Unsupervised feature learning via non-parametric instance discrimination
Zhirong Wu, Yuanjun Xiong, Stella X Yu, and Dahua Lin · 2018
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mixup: Beyond empirical risk minimization
Hongyi Zhang, Moustapha Cisse, Yann N Dauphin, and David Lopez-Paz · 2018
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Multigrain: a unified image embedding for classes and instances
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Video action transformer network
Rohit Girdhar, João Carreira, Carl Doersch, and Andrew Zisserman · 2019
Are large-scale datasets necessary for self-supervised pre-training?
Alaaeldin El-Nouby, Gautier Izacard, Hugo Touvron, Ivan Laptev, Hervé Jegou, and Edouard Grave · 2021
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Anticipative Video Transformer
Rohit Girdhar and Kristen Grauman · 2021
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Prototypical contrastive learning of unsupervised representations
Junnan Li, Pan Zhou, Caiming Xiong, and Steven C.H. Hoi · 2021
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Polyvit: Co-training vision transformers on images, videos and audio
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Yonglong Tian, Dilip Krishnan, and Phillip Isola · 2019
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Generative pretraining from pixels
Mark Chen, Alec Radford, Rewon Child, Jeffrey Wu, Heewoo Jun, David Luan, and Ilya Sutskever · 2020
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Ze Liu, Jia Ning, Yue Cao, Yixuan Wei, Zheng Zhang, Stephen Lin, and Han Hu · 2021
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An End-to-End Transformer Model for 3D Object Detection
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Robust audio-visual instance discrimination
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Audio-visual instance discrimination with cross-modal agreement
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VIMPAC: Video pre-training via masked token prediction and contrastive learning
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Training data-efficient image transformers & distillation through attention
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Pyramid vision transformer: A versatile backbone for dense prediction without convolutions
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Point transformer
Hengshuang Zhao, Li Jiang, Jiaya Jia, Philip Torr, and Vladlen Koltun · 2021
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data2vec: A general framework for self-supervised learning in speech, vision and language
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