A real-time version of FCOS, inspired by FCOSv2.
#计算机科学#This is the implementation of GGHL (A General Gaussian Heatmap Label Assignment for Arbitrary-Oriented Object Detection)
翻译 - 这是 GGHL(A General Gaussian Heatmap Label Assignment for Arbitrary-Oriented Object Detection)的实现
Fedora CoreOS Github Actions Runner
Terraform module to setup a gitlab-runner using a libvirt VM and fedora coreos
这是FCOS代码的复现,backbone使用resnet18
Run Fedora CoreOS on macOS (MacBook Pro M1)
rpr20-projekat-fcosic1 created by GitHub Classroom
rpr21-projekat-fcosic1 created by GitHub Classroom
FCOS: Fully Convolutional One-Stage Object Detection (ICCV'19)
翻译 - FCOS:完全卷积一阶段对象检测(ICCV'19)
A pure torch implement of FCOS 37.2AP
NAS-FCOS: Fast Neural Architecture Search for Object Detection (CVPR 2020)
High-resolution Networks for the Fully Convolutional One-Stage Object Detection (FCOS) algorithm
icip2022 paper: sahi benchmark on visdrone and xview datasets using fcos, vfnet and tood detectors
Fuse radar and camera for detection
Fast R-CNN
翻译 - 快速R-CNN
RStudio 是一个用于R语言开发的IDE
Faster R-CNN
Anomaly Detection with R
ShadowsocksX-NG-R: Shadowsocks(R) Client for MacOS
Nacos server re-implemented in Rust.
FCOS ,640px(max side),mAP 38.2,fps45.45(RTX 2080TI).faster! better! <<Fully Convolutional One-Stage Object Detection>>
R Weekly