369 Open source projects that are alternatives of or similar to Fcn Pytorch

Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers

End-to-end image segmentation kit based on PaddlePaddle.

PyTorch for Semantic Segmentation

Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.

Applying UNET Model on TGS Salt Identification Challenge hosted on Kaggle

RefineNet-101 VOC in PyTorch

📚 A collection of papers about Referring Image Segmentation.

Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)

An open source framework for deep learning on satellite and aerial imagery.

[NeurIPS 2020] Code release for paper "Deep Multimodal Fusion by Channel Exchanging" (In PyTorch)

Generic U-Net Tensorflow 2 implementation for semantic segmentation

DeepLab-ResNet rebuilt in TensorFlow

遥感图像的语义分割，基于深度学习，在Tensorflow框架下，利用TF.Keras，运行环境TF2.0+

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

A native Tensorflow implementation of semantic segmentation according to Multi-Scale Context Aggregation by Dilated Convolutions (2016). Optionally uses the pretrained weights by the authors.

An opensource lib. for vehicle vision applications (written by MATLAB), lane marking detection, road segmentation

WB color augmenter improves the accuracy of image classification and image semantic segmentation methods by emulating different WB effects (ICCV 2019) [Python & Matlab].

Implement some models of RGB/RGBD semantic segmentation in PyTorch, easy to run. Such as FCN, RefineNet, PSPNet, RDFNet, 3DGNN, PointNet, DeepLab V3, DeepLab V3 plus, DenseASPP, FastFCN

Keras implementation of Real-Time Semantic Segmentation on High-Resolution Images

FPConv: Learning Local Flattening for Point Convolution, CVPR 2020

This is an ongoing re-implementation of DeepLab_v3_plus on pytorch which is trained on VOC2012 and use ResNet101 for backbone.

SegSort: Segmentation by Discriminative Sorting of Segments

A PyTorch-based library for working with 3D and 2D convolutional neural networks, with focus on semantic segmentation of volumetric biomedical image data

Depth-wise Asymmetric Bottleneck for Real-time Semantic Segmentation (BMVC2019)

Tensorflow implementation : U-net and FCN with global convolution

Tools to Design or Visualize Architecture of Neural Network

A simpler way of reading and augmenting image segmentation data into TensorFlow

Y-Net: Joint Segmentation and Classification for Diagnosis of Breast Biopsy Images

Exploring Cross-Image Pixel Contrast for Semantic Segmentation

Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation

Code for Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells, CVPR '19

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

Multi-Task (Joint Segmentation / Depth / Surface Normas) Real-Time Light-Weight RefineNet

Not All Pixels Are Equal: Difficulty-Aware Semantic Segmentation via Deep Layer Cascade

a tensorflow implement of refinenet ,RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation

Deep learning applied to georeferenced datasets

Collection of computer vision models, ready to be included in a JVM project

Self-Ensembling Attention Networks: Addressing Domain Shift for Semantic Segmentation

lightweight and efficient cnn for semantic segmentation, my blog address:

ESNet: An Efficient Symmetric Network for Real-time Semantic Segmentation

Unofficial tensorflow implementation of real-time scene image segmentation model "BiSeNet V2: Bilateral Network with Guided Aggregation for Real-time Semantic Segmentation"

DoubleU-Net for Semantic Image Segmentation in TensorFlow Keras

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

FrostNet: Towards Quantization-Aware Network Architecture Search

Hierarchical perception library in Python for pose estimation, object detection, instance segmentation, keypoint estimation, face recognition, etc.

Project to train/test convolutional neural networks to extract buildings from SpaceNet satellite imageries.

Deep Learning sample programs using PyTorch in C++

C++ based toolbox for the SUNCG dataset

Implementation of RefineNet to perform real time instance segmentation in the browser using TensorFlow.js

A label tool aim to reduce semantic segmentation label time, rectangle and polygon annotation is supported

PSPNet in Chainer

Pytorch Implementation -- All about Structure: Adapting Structural Information across Domains for Boosting Semantic Segmentation, CVPR 2019

CRF-RNN PyTorch version http://crfasrnn.torr.vision

4D Spatio-Temporal Semantic Segmentation on a 3D video (a sequence of 3D scans)

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

Official Pytorch Code of KiU-Net for Image Segmentation - MICCAI 2020 (Oral)

train test labels for sunrgbd