Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.

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

Deep Occlusion-Aware Instance Segmentation with Overlapping BiLayers [CVPR 2021]

Some improvements (center sample) about FCOS (FCOS: Fully Convolutional One-Stage Object Detection).

Pytorch and ncnn implementation of PPYOLOE、YOLOX、PPYOLO、PPYOLOv2、PicoDet and so on.

NAS-FCOS: Fast Neural Architecture Search for Object Detection (CVPR 2020)

icip2022 paper: sahi benchmark on visdrone and xview datasets using fcos, vfnet and tood detectors

Implementation of ECCV 2020 paper "Every Pixel Matters: Center-aware Feature Alignment for Domain Adaptive Object Detector"

fully convolutional one-stage object detection

Conditional Convolutions for Instance Segmentation, achives 37.1mAP on coco val

High-resolution Networks for the Fully Convolutional One-Stage Object Detection (FCOS) algorithm

使用OpenCV部署SCRFD人脸检测，包含C++和Python两种版本的程序实现，本套程序只依赖opencv库就可以运行， 从而彻底摆脱对任何深度学习框架的依赖。

fcos implementation in pytorch1.x

OpenVINO Training Extensions Object Detection

QuarkDet lightweight object detection in PyTorch .Real-Time Object Detection on Mobile Devices.

YOLACT: Real-time Instance Segmentation on the FCOS detector (without bbox cropping), achives 35.2mAP on coco val

FCOS (Fully Convolutional One-Stage Object Detection) implementation in Keras and Tensorflow

FCOS with VoVNet(CVPRW'19) backbone networks

An unofficial implementation of FCOS in Pytorch: 37.3-resnet50-700px