
DE-ViTは、微調整不要の新しいアーキテクチャに基づく少数ショット物体検出手法です。


coremsg

少ない例で全てを検出する


DE-ViT establishes new state-of-the-art results in few-shot object detection benchmarks.



Few-shot Object Detection with DE-ViT: State-of-the-Art Results on COCO, Pascal VOC, and LVIS



Combining few-shot learning and object detection techniques to rapidly adapt to novel objects with limited annotated samples.



Leveraging Transfer Learning for Efficient Few-Shot Object Detection
