VFM4SDG is a dual-prior framework that distills cross-domain stable relations from VFMs into DETR encoders and injects semantic-contextual priors into decoder queries to reduce missed detections in single-domain generalized object detection.
Improving single domain-generalized object detection: A focus on diversification and alignment
2 Pith papers cite this work. Polarity classification is still indexing.
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cs.CV 2years
2026 2representative citing papers
A detection framework learns to rectify deviant visual features back to class-specific prototype anchors, improving generalization to unseen domains without target data.
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VFM$^{4}$SDG: Unveiling the Power of VFMs for Single-Domain Generalized Object Detection
VFM4SDG is a dual-prior framework that distills cross-domain stable relations from VFMs into DETR encoders and injects semantic-contextual priors into decoder queries to reduce missed detections in single-domain generalized object detection.
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Prototype-Anchored Generalized Manifold Regression for Unknown-Domain Object Detection
A detection framework learns to rectify deviant visual features back to class-specific prototype anchors, improving generalization to unseen domains without target data.