ContextShift benchmark on COCO reveals up to 227% more false negatives and 44% fewer predictions under controlled context changes, non-monotonic NPMI response, and gains from context-aware augmentation.
Quantifying context bias in domain adaptation for object detection.arXiv preprint arXiv:2409.14679, 2024
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ContextShift: A Controlled Benchmark for Context Dependence in Object Detection
ContextShift benchmark on COCO reveals up to 227% more false negatives and 44% fewer predictions under controlled context changes, non-monotonic NPMI response, and gains from context-aware augmentation.