| An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale A Dosovitskiy*, L Beyer*, A Kolesnikov*, D Weissenborn*, X Zhai*, ... International Conference on Learning Representations (ICLR), 2020 | 25120 | 2020 |
| iCaRL: Incremental Classifier and Representation Learning SA Rebuffi, A Kolesnikov, G Sperl, CH Lampert IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2017 | 2990 | 2017 |
| The open images dataset v4: Unified image classification, object detection, and visual relationship detection at scale A Kuznetsova, H Rom, N Alldrin, J Uijlings, I Krasin, J Pont-Tuset, ... International Journal of Computer Vision (2018), 2018 | 2103 | 2018 |
| MLP-Mixer: An all-MLP Architecture for Vision I Tolstikhin*, N Houlsby*, A Kolesnikov*, L Beyer*, X Zhai, T Unterthiner, ... Neural Information Processing Systems (NeurIPS), 2021 | 1619 | 2021 |
| Big Transfer (BiT): General Visual Representation Learning A Kolesnikov*, L Beyer*, X Zhai*, J Puigcerver, J Yung, S Gelly, ... European Conference on Computer Vision (ECCV), 2020 | 1104 | 2020 |
| S4L: Self-Supervised Semi-Supervised Learning X Zhai*, A Oliver*, A Kolesnikov*, L Beyer*, *equal contribution IEEE/CVF International Conference on Computer Vision (ICCV), 2019 | 853 | 2019 |
| Seed, Expand and Constrain: Three Principles for Weakly-Supervised Image Segmentation A Kolesnikov, CH Lampert European Conference on Computer Vision (ECCV), 2016 | 787 | 2016 |
| Revisiting Self-Supervised Visual Representation Learning A Kolesnikov*, X Zhai*, L Beyer*, *equal contribtion IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019 | 763 | 2019 |
| Scaling Vision Transformers X Zhai*, A Kolesnikov*, N Houlsby, L Beyer*, *equal contribution IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 | 665 | 2022 |
| How to train your vit? data, augmentation, and regularization in vision transformers A Steiner, A Kolesnikov, X Zhai, R Wightman, J Uszkoreit, L Beyer Transactions on Machine Learning Research (TMLR), 2021 | 358 | 2021 |
| Are we done with ImageNet? L Beyer*, OJ Henaff*, A Kolesnikov*, X Zhai*, A Oord*, *equal contribution arXiv preprint arXiv:2006.07159, 2020 | 278 | 2020 |
| LiT: Zero-Shot Transfer with Locked-image Text Tuning X Zhai, X Wang, B Mustafa, A Steiner, D Keysers, A Kolesnikov, L Beyer IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021 | 276 | 2021 |
| Pali: A jointly-scaled multilingual language-image model X Chen, X Wang, S Changpinyo, AJ Piergiovanni, P Padlewski, D Salz, ... International Conference on Learning Representations (ICLR), 2022 | 238 | 2022 |
| Knowledge distillation: A good teacher is patient and consistent L Beyer, X Zhai, A Royer, L Markeeva, R Anil, A Kolesnikov IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 | 156 | 2022 |
| Scaling vision transformers to 22 billion parameters M Dehghani, J Djolonga, B Mustafa, P Padlewski, J Heek, J Gilmer, ... International Conference on Machine Learning, 7480-7512, 2023 | 127 | 2023 |
| On Robustness and Transferability of Convolutional Neural Networks J Djolonga, J Yung, M Tschannen, R Romijnders, L Beyer, A Kolesnikov, ... IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020 | 118 | 2020 |
| Detecting Visual Relationships Using Box Attention A Kolesnikov, A Kuznetsova, CH Lampert, V Ferrari IEEE/CVF International Conference on Computer Vision (ICCV) workshop on …, 2019 | 72 | 2019 |
| The visual task adaptation benchmark X Zhai*, J Puigcerver*, A Kolesnikov*, P Ruyssen, C Riquelme, M Lucic, ... arXiv preprint arXiv:1910.04867, 2019 | 58 | 2019 |
| PixelCNN models with Auxiliary Variables for Natural Image Modeling A Kolesnikov, CH Lampert International Conference on Machine Learning (ICML), 2017 | 52* | 2017 |
| Probabilistic Image Colorization A Royer*, A Kolesnikov*, CH Lampert, *equal contribution British Machine Vision Conference (BMVC), 2017 | 49 | 2017 |
Xiaohua ZhaiGoogle DeepmindPotvrđena adresa e-pošte na google.com
