Segmentation models with pretrained backbones. PyTorch.
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
项目注释+论文复现+算法竞赛+Pytorch实践
Feature Pyramid Networks for Object Detection
R2CNN: Rotational Region CNN Based on FPN (Tensorflow)
A Tensorflow implementation of FPN detection framework.
This is a tensorflow re-implementation of Feature Pyramid Networks for O...
Faster R-CNN / R-FCN :bulb: C++ version based on Caffe
A Python Library for High-Level Semantic Segmentation Models based on Te...
An easy implementation of FPN (https://arxiv.org/pdf/1612.03144.pdf) in ...
R-DFPN: Rotation Dense Feature Pyramid Networks (Tensorflow)
[BMVC-20] Official PyTorch implementation of PPDet.
QuarkDet lightweight object detection in PyTorch .Real-Time Object Dete...
Training & Quantization of embedded friendly Deep Learning / Machine Lea...
Mask R-CNN, FPN, LinkNet, PSPNet and UNet with multiple backbone archite...