anchor-free

NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥

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

face detection

[CVPR 2020] CenterMask : Real-time Anchor-Free Instance Segmentation

[ECCV'20] Ocean: Object-aware Anchor-Free Tracking

This is the implementation of GGHL (A General Gaussian Heatmap Label Assignment for Arbitrary-Oriented Object Detection)

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

an edge-real-time anchor-free object detector with decent performance

The official PyTorch Implementation of RTM3D and KM3D for Monocular 3D Object Detection

Real time one-stage multi-class & multi-object tracking based on anchor-free detection and ReID

FoveaBox: Beyond Anchor-based Object Detector

TOOD: Task-aligned One-stage Object Detection, ICCV2021 Oral

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

unofficial version of centerface, which achieves the best balance between speed and accuracy at face detection

list the paper for recently anchor free detector

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

A pure torch implement of FCOS 37.2AP

Instance Segmentation based on CenterNet and CondInst

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

使用OpenCV部署YOLOX，支持YOLOX-S、YOLOX-M、YOLOX-L、YOLOX-X、YOLOX-Darknet53五种结构，包含C++和Python两种版本的程序