Can you explain the discrepancy in reported kNN Top-1 between POA and DINOv2-L?
未關閉
- 主要語言
- Python
- 星號
- 22
- 分支
- 1
- PR 合併指標
- 30 天內沒有已合併 PR
描述
The first image is your Table 1, and the second is [DINOv2](http://arxiv.org/abs/2304.07193)'s Table 4.
The difference between 82.0% as reported in your paper versus 83.5% in DINOv2's is quite large. It's also apparent that DINOv2-L is a patch-size-14 model, not a 16. Are you accounting for this difference by resizing DINO's patch projector? Or just letting the different models have a different number of patches? Or are you feeding them different image sizes?
貢獻指南
這個儲存庫沒有索引到貢獻指南
評估
這個 Issue 還沒有評估資料。