GitHub / MatteoM95 / Real-time-Domain-Adaptation-in-Semantic-Segmentation
A class-based styling approach for Real-Time Domain Adaptation in Semantic Segmentation applied within the realm of autonomous driving solutions. Final project from MLDL course 2020/2021
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/MatteoM95%2FReal-time-Domain-Adaptation-in-Semantic-Segmentation
PURL: pkg:github/MatteoM95/Real-time-Domain-Adaptation-in-Semantic-Segmentation
Stars: 2
Forks: 0
Open issues: 0
License: None
Language: Python
Size: 5.52 GB
Dependencies parsed at: Pending
Created at: about 4 years ago
Updated at: over 1 year ago
Pushed at: almost 3 years ago
Last synced at: about 1 year ago
Topics: adversarial-learning, adversarial-networks, autonomous-driving, domain-adaptation, pytorch, pytorch-cnn, pytorch-gan, real-time, semantic-segmentation, torchvision