AD
wasidennis/AdaptSegNet
Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)
860 208 +0/wk
GitHub
adversarial-learning computer-vision deep-learning domain-adaptation generative-adversarial-network pytorch semantic-segmentation
Trend
0
Star & Fork Trend (30 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
wasidennis/AdaptSegNet has +0 stars this period . Velocity data will be available after more historical data is collected.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | AdaptSegNet | finetune-anything | 3DMPPE_POSENET_RELEASE | swin-transformer-pytorch |
|---|---|---|---|---|
| Stars | 860 | 860 | 860 | 861 |
| Forks | 208 | 63 | 148 | 130 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Python | Python | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | N/A | MIT | MIT | MIT |
Capability Radar vs finetune-anything
AdaptSegNet
finetune-anything
Maintenance Activity 0
Last code push 2064 days ago.
Community Engagement 100
Fork-to-star ratio: 24.2%. Active community forking and contributing.
Issue Burden 70
Issue data not yet available.
Growth Momentum 30
No measurable growth in the current period (first-day cold start expected).
License Clarity 30
No clear license detected — proceed with caution.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.