There are 1 repository under fpn topic.
Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.
Segmentation models with pretrained backbones. Keras and TensorFlow Keras.
A c++ trainable semantic segmentation library based on libtorch (pytorch c++). Backbone: VGG, ResNet, ResNext. Architecture: FPN, U-Net, PAN, LinkNet, PSPNet, DeepLab-V3, DeepLab-V3+ by now.
R2CNN: Rotational Region CNN Based on FPN (Tensorflow)
A Tensorflow implementation of FPN detection framework.
A semantic segmentation toolbox based on PyTorch
This is a tensorflow re-implementation of Feature Pyramid Networks for Object Detection.
A Python Library for High-Level Semantic Segmentation Models based on TensorFlow and Keras with pretrained backbones.
FasterRCNN is implemented in VGG, ResNet and FPN base.
An easy implementation of FPN (https://arxiv.org/pdf/1612.03144.pdf) in PyTorch.
Scalable Instance Segmentation using PyTorch & PyTorch Lightning.
R-DFPN: Rotation Dense Feature Pyramid Networks (Tensorflow)
[BMVC-20] Official PyTorch implementation of PPDet.
QuarkDet lightweight object detection in PyTorch .Real-Time Object Detection on Mobile Devices.
This repository has been moved. The new location is in https://github.com/TexasInstruments/edgeai-tensorlab
Mask R-CNN, FPN, LinkNet, PSPNet and UNet with multiple backbone architectures support readily available
PyTorch implementations of some FPN-based semantic segmentation architectures: vanilla FPN, Panoptic FPN, PANet FPN; with ResNet and EfficientNet backbones.
Caffe version Generalized & Distance & Complete Iou loss Implementation for Faster RCNN/FPN bbox regression
Monocular depth estimation using Feature Pyramid Network implemented in PyTorch 1.1.0
1D and 2D Segmentation Models with options such as Deep Supervision, Guided Attention, BiConvLSTM, Autoencoder, etc.
Mask R-CNN creates a high-quality segmentation mask in addition to the Faster R-CNN network. In addition to class labels and scores, a segmentation mask is created for the objects detected by this neural network. In this repository, using Anaconda prompt step by step Mask R-CNN setup is shown.
Pytorch Implementation of "Feature Pyramid Networks for Object Detection"
Pytorch implementation(LeNet, VGGNet, GAN, UNet, Mask R-CNN, ...)
Tiny ResNet inspired FPN network (<2M params) for Rotated Object Detection using 5-parameter Modulated Rotation Loss
Feature Pyramid Network based on VGG16 and ResNet101
MobileNetV2 architecture combined with a dynamically generated Feature Pyramid Network
YOLO Series
基于 torchvision 编写的针对 COCO 数据集的 Faster-RCNN 快速训练与推理框架,支持多 batchsize。
Library for training and testing object detection for Pytorch (ssd, retinanet)
Brief comparison of segmentation models. Trained on Collab, served using Fast-API, streamlit and dockerized.
Pytorch Implementation of Dynamic FPN, PAN, and Bi-FPN
Brain MRI segmentation using segmentation models
All my Python code used for the Kaggle HuBMAP Semantic Segmentation competition