A few-shot detector using orthogonal feature directions for objectness and classification, plus hybrid background optimization, improves low-shot detection on VOC and COCO.
Faster r-cnn: Towards real-time object detection with region proposal networks,
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Attention-disentangled Uniform Orthogonal Feature Space Optimization for Few-shot Object Detection
A few-shot detector using orthogonal feature directions for objectness and classification, plus hybrid background optimization, improves low-shot detection on VOC and COCO.