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I reproduced the SipMask-VIS experiments (the default one, not the ms-train) 4 times, and got the reuslts:
116 | 0.3129611757 | S_1.zip | 07/07/2021 08:02:18 | Finished| 117 | 0.3296189271 | S_2.zip | 07/07/2021 08:02:43 | Finished| 118 | 0.3118949771 | S_3.zip | 07/07/2021 08:05:01 | Finished| 119 | 0.3301602886 | S_4.zip | 07/07/2021 08:05:56 | Finished|
using torch==1.1.0; torchvision==0.3.0; mmcv==0.2.12; with 12 epochs
which are below and beyond 32.5 mAP reported in the paper.
32.5
Are there any solutions to make it stabe as the paper?
Also, some relevant issues in repo MaskTrackRCNN reported the mAP number is not stable as the paper one.
MaskTrackRCNN
Thanks!
The text was updated successfully, but these errors were encountered:
@qihao-huang Thanks for interest. How many GPUs are you using?
Sorry, something went wrong.
4 GPUs using V100 with 32 GB
No branches or pull requests
I reproduced the SipMask-VIS experiments (the default one, not the ms-train) 4 times, and got the reuslts:
using torch==1.1.0; torchvision==0.3.0; mmcv==0.2.12; with 12 epochs
which are below and beyond
32.5
mAP reported in the paper.Are there any solutions to make it stabe as the paper?
Also, some relevant issues in repo
MaskTrackRCNN
reported the mAP number is not stable as the paper one.Thanks!
The text was updated successfully, but these errors were encountered: