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Thanks for the work! I trained this SSL model for semi-supervised domain adaptation semantic segmentation. I used the label ratio of 1/30, trained on the GTA5 dataset as the full labelled dataset and Cityscapes as the partially labelled dataset. Evaluated on Cityscapes val set. I kept all configs as the same as the descriptions in your supplementary material. Here are the results I got from my training on a single NVIDIA GeForce RTX 3090:
label ratio
mIoU
Road
Sidewalk
Building
Wall
Fence
Pole
Traffic light
Traffic sign
Vegetartion
Terrain
Sky
Person
Rider
Car
Truck
Bus
Train
Motorcycle
Bicycle
1/30
51.8
94.8
65.7
85.4
369
32.6
35.3
38.8
47.5
86.1
47.1
89.4
61.5
35.4
86.2
33.9
0.59
21.68
29.55
56.51
============================================================================================
Besides, there is a variable best_mIoU_improved which is not defined but used to compare with best_mIoU in the code. Is that any improvement made here?
Thanks.
The text was updated successfully, but these errors were encountered:
Hi there,
Thanks for the work! I trained this SSL model for semi-supervised domain adaptation semantic segmentation. I used the label ratio of 1/30, trained on the GTA5 dataset as the full labelled dataset and Cityscapes as the partially labelled dataset. Evaluated on Cityscapes val set. I kept all configs as the same as the descriptions in your supplementary material. Here are the results I got from my training on a single NVIDIA GeForce RTX 3090:
============================================================================================
Besides, there is a variable
best_mIoU_improved
which is not defined but used to compare withbest_mIoU
in the code. Is that any improvement made here?Thanks.
The text was updated successfully, but these errors were encountered: