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Found 4 papers, 3 papers with code
CLIP the Gap: A Single Domain Generalization Approach for Object Detection
Single Domain Generalization (SDG) tackles the problem of training a model on a single source domain so that it generalizes to any unseen target domain.
Learning Transformations To Reduce the Geometric Shift in Object Detection
The performance of modern object detectors drops when the test distribution differs from the training one.
DSR: Towards Drone Image Super-Resolution
It would enable drones to fly higher covering larger fields of view, while maintaining a high image quality.
Attention-based Domain Adaptation for Single Stage Detectors
While domain adaptation has been used to improve the performance of object detectors when the training and test data follow different distributions, previous work has mostly focused on two-stage detectors.
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