https://github.com/memgonzales/mirror-segmentation
Presented at the 2023 International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision (WSCG 2023). Lightweight mirror segmentation CNN that uses an EfficientNet backbone, employs parallel convolutional layers to capture edge features, and applies filter pruning for model compression
https://github.com/memgonzales/mirror-segmentation
cnn cnn-compression computer-vision convolutional-neural-networks deep-learning efficientnet model-compression model-pruning object-detection object-segmentation pruning pytorch segmentation
Last synced: 4 months ago
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Presented at the 2023 International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision (WSCG 2023). Lightweight mirror segmentation CNN that uses an EfficientNet backbone, employs parallel convolutional layers to capture edge features, and applies filter pruning for model compression
- Host: GitHub
- URL: https://github.com/memgonzales/mirror-segmentation
- Owner: memgonzales
- License: bsd-3-clause
- Created: 2023-02-06T02:10:22.000Z (about 3 years ago)
- Default Branch: main
- Last Pushed: 2023-07-19T12:23:09.000Z (almost 3 years ago)
- Last Synced: 2025-01-20T11:11:28.757Z (over 1 year ago)
- Topics: cnn, cnn-compression, computer-vision, convolutional-neural-networks, deep-learning, efficientnet, model-compression, model-pruning, object-detection, object-segmentation, pruning, pytorch, segmentation
- Language: Python
- Homepage: https://doi.org/10.24132/CSRN.3301.14
- Size: 197 MB
- Stars: 2
- Watchers: 3
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
- License: LICENSE