CO
JDAI-CV/CoTNet
This is an official implementation for "Contextual Transformer Networks for Visual Recognition".
539 83 +0/wk
GitHub
contextual-transformer cotnet image-classification imagenet instance-segmentation mask-rcnn mscoco object-detection semantic-segmentation vision-transformer
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0
Star & Fork Trend (19 data points)
Stars
Forks
Multi-Source Signals
Growth Velocity
JDAI-CV/CoTNet has +0 stars this period . Velocity data will be available after more historical data is collected.
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| Metric | CoTNet | YOLO-Patch-Based-Inference | awesome_computer_science | StyleSwin |
|---|---|---|---|---|
| Stars | 539 | 537 | 537 | 541 |
| Forks | 83 | 32 | 52 | 55 |
| Weekly Growth | +0 | +1 | +0 | +0 |
| Language | Python | Python | N/A | Python |
| Sources | 1 | 1 | 1 | 1 |
| License | NOASSERTION | AGPL-3.0 | MPL-2.0 | MIT |
Capability Radar vs YOLO-Patch-Based-Inference
CoTNet
YOLO-Patch-Based-Inference
Maintenance Activity 0
Last code push 1704 days ago.
Community Engagement 77
Fork-to-star ratio: 15.4%. 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.