A Keras port of Single Shot MultiBox Detector
PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)
PytorchAutoDrive: Segmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, RESA, LSTR, LaneATT, BézierLaneNet...) based on PyTorch with fast training, visualization, benchmarking & deployment help
A Kitti Road Segmentation model implemented in tensorflow.
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Tensorflow implementation of Automatic Portrait Matting on paper "Automatic Portrait Segmentation for Image Stylization"
Pixel-wise segmentation on VOC2012 dataset using pytorch.
CVPR2022 (Oral) - Rethinking Semantic Segmentation: A Prototype View
Chainer Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)
PyTorch Implementation of Fully Convolutional Networks (a very simple and easy demo).
Get started with Semantic Segmentation based on Keras, including FCN32/FCN8/SegNet/U-Net
A Python Library for High-Level Semantic Segmentation Models based on TensorFlow and Keras with pretrained backbones.
This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.
The code includes all the file that you need in the training stage for FCN
Tensorflow implementation : U-net and FCN with global convolution
Pytorch implementation of FCN, UNet, PSPNet, and various encoder models.
segmentation repo using pytorch
红外弱小目标检测算法 Infrared Target Detection by Segmentation (Deeplearing Method)
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