로그인
통찰 - Few-shot object detection
少ない例で全てを検出する
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。
Few-shot Object Detection with DE-ViT: State-of-the-Art Results on COCO, Pascal VOC, and LVIS
DE-ViT establishes new state-of-the-art results in few-shot object detection benchmarks.
Leveraging Transfer Learning for Efficient Few-Shot Object Detection
Combining few-shot learning and object detection techniques to rapidly adapt to novel objects with limited annotated samples.
Boosting Few-Shot Object Detection with Large Language Models and Layout-to-Image Synthesis
This research paper proposes a novel framework that leverages the power of large language models (LLMs) and layout-to-image synthesis (LIS) to significantly improve the performance of few-shot object detection models.
