Swin Transformer V2: Scaling Up Capacity and Resolution
We present techniques for scaling Swin Transformer [35] up to 3 billion parameters and making it capable of training with images of up to 1,536x1,536 resolution. By scaling up c...
Publications
2 shownSimMIM: a Simple Framework for Masked Image Modeling
This paper presents SimMIM, a simple framework for masked image modeling. We have simplified recently proposed relevant approaches, without the need for special designs, such as...
Frequent Co-Authors
Researcher Info
- h-index
- 2
- Publications
- 2
- Citations
- 2,861
- Institution
- Tsinghua University
External Links
Impact Metrics
h-index
2
h-index: Number of publications with at least h citations each.