fcos

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

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

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

Selfhost your Forem Community on your own infrastructure 🎉

TensorRT-7 Network Lib 包括常用目标检测、关键点检测、人脸检测、OCR等 可训练自己数据

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

EntitySeg Toolbox: Towards Open-World and High-Quality Image Segmentation

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

SimpleAICV:pytorch training and testing examples on ImageNet(ILSVRC2012)/COCO2017/VOC2007+2012/CIFAR100/AED20K datasets.Include classification/object detection/distillation/contrastive learning/masked image modeling.

Object Detection API Tensorflow

Pytorch and ncnn implementation of PPYOLOE、YOLOX、PPYOLO、PPYOLOv2、SOLOv2 an so on.

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

ZeroTier One as Docker Image

A pure torch implement of FCOS 37.2AP

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

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

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

FCOS: Fully Convolutional One-Stage Object Detection.

fcos implementation in pytorch1.x

OpenVINO Training Extensions Object Detection