Fcn Collection

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“A Keras port of Single Shot MultiBox Detector”

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“PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)”

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“Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation (http://fcn.berkeleyvision.org)”

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“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”

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“A Kitti Road Segmentation model implemented in tensorflow.”

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“常用的语义分割架构结构综述以及代码复现”

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“Tensorflow implementation of Automatic Portrait Matting on paper "Automatic Portrait Segmentation for Image Stylization"”

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“CVPR2022 (Oral) - Rethinking Semantic Segmentation: A Prototype View”

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“Pixel-wise segmentation on VOC2012 dataset using pytorch.”

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“ResUNet, a semantic segmentation model inspired by the deep residual learning and UNet. An architecture that take advantages from both(Residual and UNet) models.”

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“Chainer Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)”

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“PyTorch Implementation of Fully Convolutional Networks (a very simple and easy demo).”

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“Implemention of FCN-8 and FCN-16 with Keras and uses CRF as post processing”

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“Get started with Semantic Segmentation based on Keras, including FCN32/FCN8/SegNet/U-Net”

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“A Python Library for High-Level Semantic Segmentation Models based on TensorFlow and Keras with pretrained backbones.”

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“This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.”

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“UNet is a fully convolutional network(FCN) that does image segmentation. Its goal is to predict each pixel's class. It is built upon the FCN and modified in a way that it yields better segmentation in medical imaging.”

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“Framework for estimating temporal properties of music tracks.”