Research map / Image generation / Super-resolution
Towards Domain Adaptive Vehicle Detection in Satellite Image by Supervised Super-Resolution Transfer
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Measured effects reported in the paper
| What was changed | Where | Measured | Effect |
|---|---|---|---|
| transfer detection from low-resolution satellite domain to super-resolved aerial domain (ablation) | vehicle detector · Google Earth New York satellite vehicle dataset | precision-recall | Helped |
| replace kNN and linear SVM with Exemplar-SVMs (ablation) | vehicle detector · Google Earth New York satellite vehicle dataset | precision-recall | Helped |
| add learning-to-rank calibration of E-SVM outputs (ablation) | E-SVM detector · Google Earth New York satellite vehicle dataset | precision-recall | Helped |
| add supervised labels (detection loss) to dictionary learning versus unsupervised (0%) (ablation) | coupled dictionary learning · Google Earth New York satellite vehicle dataset | recognition accuracy | Helped |
| vary E-SVM penalty C (ablation) | E-SVM detector · Google Earth New York satellite vehicle dataset | recognition accuracy | No clear effect |
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