Keras implementation of RetinaNet object detection.
翻译 - Keras实现RetinaNet对象检测。
Pytorch implementation of RetinaNet object detection.
RetinaNet in PyTorch
Fast and accurate object detection with end-to-end GPU optimization
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
翻译 - FAIR的对象检测研究平台,实现了Mask R-CNN和RetinaNet等流行算法。
Retinanet目标检测算法(简单,明了,易用,全中文注释,单机多卡训练,视频检测)(based on pytorch,Simple, Clear, Mutil GPU)
Focal Loss for Dense Rotation Object Detection
RetinaNet with Focal Loss implemented by Tensorflow
Anchor optimization for RetinaNet.
Test data for keras-retinanet.
Pytorch implementation of Repulsion Loss on RetinaNet
Rotation RetinaNet for arbitrary-oriented object detection.
deepsort using retinanet and visDrone
3D-RetinaNet a baseline models on ROAD dataset
Text detection model that combines Retinanet with textboxes++ for OCR
Keras implementation of RetinaNet for object detection and visual relationship identification
利用RetinaNet实现交通标志检测
这是一个retinanet-pytorch的源码,可以用于训练自己的模型。