Implementation of One-Shot Object Detection with Co-Attention and Co-Excitation in Pytorch

Implementations of few-shot object detection benchmarks

OpenMMLab FewShot Learning Toolbox and Benchmark

Official Code for paper "Few-shot Object Detection on Remote Sensing Images"

📄 A paper list of Few-shot Object Detection.

Track the trend of few-shot object detection

Dynamic Relavance Learning for Few Shot Object Detection

Prototype-cnn

Official implementation of the CVPR 2022 paper "DETReg: Unsupervised Pretraining with Region Priors for Object Detection".

Multi-Faceted Distillation of Base-Novel Commonality for Few-shot Object Detection, ECCV 2022

Source code for CVPR 2022 paper Sylph A Hypernetwork Framework for Few-shot Object Detection

Code for AAAI 2022 Oral paper: 'Meta Faster R-CNN: Towards Accurate Few-Shot Object Detection with Attentive Feature Alignment'

FewX is an open-source toolbox on top of Detectron2 for data-limited instance-level recognition tasks.