https://github.com/kimrass/deeplabv3
PyTorch implementation of 'DeepLabv3' (Chen et al., 2018) and training it on VOC 2012
https://github.com/kimrass/deeplabv3
aspp atrous-convolution deeplabv3 pytorch resnet-101 semantic-segmentation voc2012
Last synced: 4 months ago
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PyTorch implementation of 'DeepLabv3' (Chen et al., 2018) and training it on VOC 2012
- Host: GitHub
- URL: https://github.com/kimrass/deeplabv3
- Owner: KimRass
- Created: 2023-07-28T14:12:00.000Z (almost 3 years ago)
- Default Branch: main
- Last Pushed: 2025-01-12T09:01:26.000Z (over 1 year ago)
- Last Synced: 2025-01-12T10:18:04.862Z (over 1 year ago)
- Topics: aspp, atrous-convolution, deeplabv3, pytorch, resnet-101, semantic-segmentation, voc2012
- Language: Python
- Homepage:
- Size: 74.1 MB
- Stars: 2
- Watchers: 2
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# 'Rethinking Atrous Convolution for Semantic Image Segmentation'
# 1. Pre-traind Models
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| [deeplabv3-voc2012.pt](https://drive.google.com/file/d/1iN8FI1kiaZycrRZWi7YIk3X-3xnBjKFw/view?usp=sharing) | - 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
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| Ground truth | Prediction |
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