Retracted: Generative Adversarial Networks for Unmanned Aerial Vehicle Object Detection with Fusion Technology
Why is this work in the frame?
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
No Canadian affiliation. An affiliation-only frame — the usual design — would never have seen this work. It is one of the works that make the case for inverting the frame.
Post-publication record
OpenAlex flags this work as retracted, but it carries no matching Retraction Watch record in this frame.
Machine scores (provisional)
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
- Teacher spread
- 0.242 · how far apart the two teachers sit on this one work
- Validation status
score_only:v0-immature-baseline· verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it
Abstract
OpenAlex records an abstract for this work, but it could not be fetched just now.
The record
- Venue
- Journal of Advanced Transportation
- Topic
- Advanced Measurement and Detection Methods
- Field
- Engineering
- Canadian institutions
- —
- Funders
- —
- Keywords
- Generative grammarAdversarial systemArtificial intelligenceComputer scienceObject (grammar)FusionAeronauticsObject detectionSensor fusionAerial imageryComputer visionEngineeringAerospace engineeringPattern recognition (psychology)
- Has abstract in OpenAlex
- yes