Fast and Computationally efficient Continual Learning for NanoDet anchor-free Object Detector

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

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

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

🔥🔥🔥 专注于YOLOv5，YOLOv7、YOLOv8、YOLOv9改进模型，Support to improve backbone, neck, head, loss, IoU, NMS and other modules🚀

Tutorial on Anchor-Free Object Detection

A collection of some awesome public Anchor-Free object detection series projects.

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

YOLO Series

YOLOv8 implementation using PyTorch

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

FoveaBox: Beyond Anchor-based Object Detector

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

[MICCAI2020]CPM-Net: A 3D Center-Points Matching Network for Pulmonary Nodule Detection in CT Scans

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

FCOS: Fully Convolutional One-Stage Object Detection.

Multi-Scale Semantic Fusion-Guided Fractal Convolutional Object Detection Network for Optical Remote Sensing Imagery

使用OpenCV部署FastestDet，包含C++和Python两种版本的程序。模型文件不超过1M

Code for our paper "DAFNe: A One-Stage Anchor-Free Deep Model for Oriented Object Detection".

使用ONNXRuntime部署PicoDet目标检测，包含C++和Python两个版本的程序