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Releases: UNIZG-FER-D307/semisup-seg-efficient

v1 (MVA paper)

04 Jan 16:25
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This release contains code for reproducing results from the paper "A baseline for semi-supervised learning of efficient semantic segmentation models".

Pre-trained DeepLab v2 parameters

07 Jul 16:04
9c9066c
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Below are pre-trained parameters for DeepLab v2 with ResNet-101 as backbone that have been converted according to the procedure described here by @kazuto1011:
deeplabv1_resnet101-coco.pth