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PyTorch implementation of 'DeepLabv3' (Chen et al., 2018) and training it on VOC 2012

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KimRass/DeepLabv3

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'Rethinking Atrous Convolution for Semantic Image Segmentation'

1. Pre-traind Models

deeplabv3-voc2012.pt - Trained on VOC 2012 training set for 54,000 steps.
- Average mIoU on VOC 2012 validation set: 0.6563

2. Prediction on VOC 2012 Validation Set

Ground truth Prediction
Ground truth Prediction

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PyTorch implementation of 'DeepLabv3' (Chen et al., 2018) and training it on VOC 2012

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