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Found 2 papers, 1 papers with code
Incorporating Geo-Diverse Knowledge into Prompting for Increased Geographical Robustness in Object Recognition
In the absence of training data from target geographies, we hypothesize that geographically diverse descriptive knowledge of categories can enhance robustness.
Semi-Supervised Domain Generalization for Object Detection via Language-Guided Feature Alignment
Existing domain adaptation (DA) and generalization (DG) methods in object detection enforce feature alignment in the visual space but face challenges like object appearance variability and scene complexity, which make it difficult to distinguish between objects and achieve accurate detection.
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Object Detection
on PASCAL VOC to Comic2k
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