GitHub / CYBORG-NIT-ROURKELA / Improving_Semantic_segmentation
optimising the segmentation process in Deep Convolutional Neural Networks by solving the anomaly due to fine edges
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PURL: pkg:github/CYBORG-NIT-ROURKELA/Improving_Semantic_segmentation
Stars: 23
Forks: 0
Open issues: 0
License: None
Language: Jupyter Notebook
Size: 2.92 MB
Dependencies parsed at: Pending
Created at: about 5 years ago
Updated at: over 2 years ago
Pushed at: about 5 years ago
Last synced at: over 1 year ago
Commit Stats
Commits: 24
Authors: 6
Mean commits per author: 4.0
Development Distribution Score: 0.5
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/CYBORG-NIT-ROURKELA/Improving_Semantic_segmentation
Topics: clustering, deeplab-resnet, deeplab-v3-plus, deeplabv3, disparting, meanshift, pytorch, pytorch-implementation, semantic-segmentation, transfer-learning, watershed, watershed-algorithm