Swin transformer v2: Scaling up capacity and resolution Z Liu, H Hu, Y Lin, Z Yao, Z Xie, Y Wei, J Ning, Y Cao, Z Zhang, L Dong, ... Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 1295 | 2022 |
Simmim: A simple framework for masked image modeling Z Xie, Z Zhang, Y Cao, Y Lin, J Bao, Z Yao, Q Dai, H Hu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 987 | 2022 |
Local relation networks for image recognition H Hu, Z Zhang, Z Xie, S Lin Proceedings of the IEEE/CVF international conference on computer vision …, 2019 | 570 | 2019 |
Propagate yourself: Exploring pixel-level consistency for unsupervised visual representation learning Z Xie, Y Lin, Z Zhang, Y Cao, S Lin, H Hu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 404 | 2021 |
Self-supervised learning with swin transformers Z Xie, Y Lin, Z Yao, Z Zhang, Q Dai, Y Cao, H Hu arXiv preprint arXiv:2105.04553, 2021 | 173 | 2021 |
Contrastive learning rivals masked image modeling in fine-tuning via feature distillation Y Wei, H Hu, Z Xie, Z Zhang, Y Cao, J Bao, D Chen, B Guo arXiv preprint arXiv:2205.14141, 2022 | 116 | 2022 |
Revealing the dark secrets of masked image modeling Z Xie, Z Geng, J Hu, Z Zhang, H Hu, Y Cao Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 96 | 2023 |
Spatially adaptive inference with stochastic feature sampling and interpolation Z Xie, Z Zhang, X Zhu, G Huang, S Lin Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 96 | 2020 |
Parametric instance classification for unsupervised visual feature learning Y Cao, Z Xie, B Liu, Y Lin, Z Zhang, H Hu Advances in neural information processing systems 33, 15614-15624, 2020 | 58 | 2020 |
DeepSeek-Coder: When the Large Language Model Meets Programming--The Rise of Code Intelligence D Guo, Q Zhu, D Yang, Z Xie, K Dong, W Zhang, G Chen, X Bi, Y Wu, ... arXiv preprint arXiv:2401.14196, 2024 | 36 | 2024 |
On data scaling in masked image modeling Z Xie, Z Zhang, Y Cao, Y Lin, Y Wei, Q Dai, H Hu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 34 | 2023 |
Dreamcraft3d: Hierarchical 3d generation with bootstrapped diffusion prior J Sun, B Zhang, R Shao, L Wang, W Liu, Z Xie, Y Liu arXiv preprint arXiv:2310.16818, 2023 | 30 | 2023 |
Deepseekmoe: Towards ultimate expert specialization in mixture-of-experts language models D Dai, C Deng, C Zhao, RX Xu, H Gao, D Chen, J Li, W Zeng, X Yu, Y Wu, ... arXiv preprint arXiv:2401.06066, 2024 | 16 | 2024 |
Deepseek llm: Scaling open-source language models with longtermism X Bi, D Chen, G Chen, S Chen, D Dai, C Deng, H Ding, K Dong, Q Du, ... arXiv preprint arXiv:2401.02954, 2024 | 16 | 2024 |
DeepSeek-VL: towards real-world vision-language understanding H Lu, W Liu, B Zhang, B Wang, K Dong, B Liu, J Sun, T Ren, Z Li, Y Sun, ... arXiv preprint arXiv:2403.05525, 2024 | 7 | 2024 |
icar: Bridging image classification and image-text alignment for visual recognition Y Wei, Y Cao, Z Zhang, Z Yao, Z Xie, H Hu, B Guo arXiv preprint arXiv:2204.10760, 2022 | 6 | 2022 |
Breaking shortcut: Exploring fully convolutional cycle-consistency for video correspondence learning Y Tang, Z Jiang, Z Xie, Y Cao, Z Zhang, PHS Torr, H Hu arXiv preprint arXiv:2105.05838, 2021 | 5 | 2021 |
Improving CLIP Fine-tuning Performance Y Wei, H Hu, Z Xie, Z Liu, Z Zhang, Y Cao, J Bao, D Chen, B Guo Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 2 | 2023 |