NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥
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Updated
Aug 8, 2024 - Python
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)
🔥🔥🔥 专注于YOLOv5,YOLOv7、YOLOv8、YOLOv9改进模型,Support to improve backbone, neck, head, loss, IoU, NMS and other modules🚀
[CVPR 2020] CenterMask : Real-time Anchor-Free Instance Segmentation
This is the implementation of GGHL (A General Gaussian Heatmap Label Assignment for Arbitrary-Oriented Object Detection)
[ECCV'20] Ocean: Object-aware Anchor-Free Tracking
Generalized Focal Loss: Learning Qualified and Distributed Bounding Boxes for Dense Object Detection, NeurIPS2020
The official PyTorch Implementation of RTM3D and KM3D for Monocular 3D Object Detection
an edge-real-time anchor-free object detector with decent performance
Real time one-stage multi-class & multi-object tracking based on anchor-free detection and ReID
FoveaBox: Beyond Anchor-based Object Detector
Some improvements (center sample) about FCOS (FCOS: Fully Convolutional One-Stage Object Detection).
TOOD: Task-aligned One-stage Object Detection, ICCV2021 Oral
unofficial version of centerface, which achieves the best balance between speed and accuracy at face detection
NAS-FCOS: Fast Neural Architecture Search for Object Detection (CVPR 2020)
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。
YOLOv8 implementation using PyTorch
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