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awesome-few-shot-object-detection

Leaderboard, taxonomy, and curated list of few-shot object detection papers.

bitcoin.org

Bitcoin.org website

cascade-rcnn

Caffe implementation of multiple popular object detection frameworks

centernet

Object detection, 3D detection, and pose estimation using center point detection:

closerlookfewshot

source code to ICLR'19, 'A Closer Look at Few-shot Classification'

d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 300 universities from 55 countries including Stanford, MIT, Harvard, and Cambridge.

dcnet

Dense Relation Distillation with Context-aware Aggregation for Few-Shot Object Detection, CVPR 2021

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

detectron2

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

detreg

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

easy

This repository is the official implementation Ensemble Augmented-Shot Y-shaped Learning: State-Of-The-Art Few-Shot Classification with Simple Ingredients.

faster-rcnn-pytorch

这是一个faster-rcnn的pytorch实现的库，可以利用voc数据集格式的数据进行训练。

faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

fcos

FCOS: Fully Convolutional One-Stage Object Detection (ICCV'19)

fcos-pytorch-37.2ap

A pure torch implement of FCOS 37.2AP

few-shot-ctm

Few shot learning

few-shot-object-detection

Implementations of few-shot object detection benchmarks

fewshot-can

Code of Cross Attention Network for Few-shot Classification (NeurIPS 2019).

fewshot_detection

Few-shot Object Detection via Feature Reweighting

fewshotwithoutforgetting

fsce

gfocal

Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection, NeurIPS2020

google-research

Google Research

grafana

The open and composable observability and data visualization platform. Visualize metrics, logs, and traces from multiple sources like Prometheus, Loki, Elasticsearch, InfluxDB, Postgres and many more.

hanmcl

iod

(TPAMI 2021) iOD: Incremental Object Detection via Meta-Learning

learningtocompare_fsl

PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Few-Shot Learning part)

lvc

Official repo for our CVPR 22 paper: "Label, Verify, Correct: A Simple Few-Shot Object Detection Method"

metar-cnn

Meta R-CNN : Towards General Solver for Instance-level Low-shot Learning