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Found 2 papers, 1 papers with code
Progressive Object Transfer Detection
Inspired by this procedure of learning to detect, we propose a novel Progressive Object Transfer Detection (POTD) framework.
LSTD: A Low-Shot Transfer Detector for Object Detection
Second, we introduce a novel regularized transfer learning framework for low-shot detection, where the transfer knowledge (TK) and background depression (BD) regularizations are proposed to leverage object knowledge respectively from source and target domains, in order to further enhance fine-tuning with a few target images.
Ranked #22 on
Few-Shot Object Detection
on MS-COCO (30-shot)
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