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Found 2 papers, 1 papers with code
Cross-Domain Few-Shot Object Detection via Enhanced Open-Set Object Detector
This paper studies the challenging cross-domain few-shot object detection (CD-FSOD), aiming to develop an accurate object detector for novel domains with minimal labeled examples.
Unsupervised Decomposition Networks for Bias Field Correction in MR Image
Many retrospective algorithms were developed to facilitate the bias correction, to which the deep learning-based methods outperformed.
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