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Active Domain Adaptation with False Negative Prediction for Object Detection
Our proposed active sampling strategy addresses this issue using an active learning approach that simultaneously accounts for uncertainty and undetectability.
Few-shot Adaptive Object Detection with Cross-Domain CutMix
In object detection, data amount and cost are a trade-off, and collecting a large amount of data in a specific domain is labor intensive.
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