FAQ
October 12, 2022 ยท View on GitHub
Dataset settings
Following SINet and other previous COD works, the original COD10K contains both camouflaged and non-camouflaged images. We only use camouflaged images with instance-level labels for training (3,040) and testing (2,026). We have uploded the 3,040 training and 2,026 testing COD10K dataset Baidu/Google/Quark.
| Dataset | CAM (instance-level) | NonCAM | Total |
|---|---|---|---|
| COD10K-Train | 3040 | 2960 | 6000 |
| COD10K-Test | 2026 | 1974 | 4000 |
Paper link
Arxiv: https://arxiv.org/abs/2207.02255
Initial weights for PVT and Swin
To fit detectron2 framework, we add prefix to the key of pth. See https://github.com/PJLallen/OSFormer/issues/4 for details.