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MRSN

This is Official Repository for "Mutually Reinforcing Structure with Proposal Contrastive Consistency for Few-Shot Object Detection", ECCV 2022. Framework of our method

Training

    1. Training a plain detector.
    1. Using the balanced dataset to fine-tune the classifier and regressor of the detector.
    1. Executing UD-CutMix by recombining labeled novel instances with base images to construct a new synthetic set.
    1. Training Mutually Reinforcing Structure Network using base dataset and synthetic set.

Acknowledgement

This repo is developed based on TFA , Detectron2 , unbiased-teacher.