# Few shot object detection with attention-RPN and multi-relation network

- keywords: attention-rpn, multi-relation detector, contrastive learning strategy, FSOD dataset.

## Intro
- the author focuses on the question "how to correctly localise unseen objects with a cluttered background"
- author points out that missing bounding boxes on novel objects may be caused by inappropriate low scores of good bounding boxes output from RPN.
- the **attention module is used to enhance the quality of proposals**
- the **multi-relation detector module** supresses and filters out false detections in the cluttered background.

## Datasets

## Methodology