VI
ViTAE-Transformer/ViTDet
Unofficial implementation for [ECCV'22] "Exploring Plain Vision Transformer Backbones for Object Detection"
582 46 +0/wk
GitHub
deep-learning object-detection pytorch vision-transformer
Trend
3
Star & Fork Trend (18 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
ViTAE-Transformer/ViTDet has +0 stars this period . 7-day velocity: 0.2%.
Deep analysis is being generated for this repository.
Signal-backed technical analysis will be available soon.
| Metric | ViTDet | phillip | Neural-IMage-Assessment | 300Days__MachineLearningDeepLearning |
|---|---|---|---|---|
| Stars | 582 | 582 | 583 | 583 |
| Forks | 46 | 79 | 97 | 170 |
| Weekly Growth | +0 | +0 | +0 | +0 |
| Language | Python | Python | Python | N/A |
| Sources | 1 | 1 | 1 | 1 |
| License | Apache-2.0 | GPL-3.0 | NOASSERTION | MIT |
Capability Radar vs phillip
ViTDet
phillip
Maintenance Activity 0
Last code push 1446 days ago.
Community Engagement 40
Fork-to-star ratio: 7.9%. Lower fork ratio may indicate passive usage.
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 95
Licensed under Apache-2.0. Permissive — safe for commercial use.
Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.