387 Open source projects that are alternatives of or similar to Cgnet

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

A large-scale dataset for face parsing (AAAI2020)

Deep learning applied to georeferenced datasets

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

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

An Official Repo of CVPR '20 "MSeg: A Composite Dataset for Multi-Domain Segmentation"

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

SegSort: Segmentation by Discriminative Sorting of Segments

DoubleU-Net for Semantic Image Segmentation in TensorFlow Keras

Pytorch Implementation of "Adversarial Learning For Semi-Supervised Semantic Segmentation" for ICLR 2018 Reproducibility Challenge

FrostNet: Towards Quantization-Aware Network Architecture Search

Code, data and benchmark from the paper "Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming" (NeurIPS 2019 ML4AD)

Sandbox for training deep learning networks

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

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

SegAN: Semantic Segmentation with Adversarial Learning

The deep semantic segmentation network for lane segmentation.

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

Tensorflow 2 implementation of complete pipeline for multiclass image semantic segmentation using UNet, SegNet and FCN32 architectures on Cambridge-driving Labeled Video Database (CamVid) dataset.

Tools to Design or Visualize Architecture of Neural Network

Direct Graphical Models (DGM) C++ library, a cross-platform Conditional Random Fields library, which is optimized for parallel computing and includes modules for feature extraction, classification and visualization.

This work is based on our paper "DualConvMesh-Net: Joint Geodesic and Euclidean Convolutions on 3D Meshes", which appeared at the IEEE Conference On Computer Vision And Pattern Recognition (CVPR) 2020.

Criss-Cross Attention for Semantic Segmentation in pure Pytorch with a faster and more precise implementation.

CNNs for semantic segmentation using Keras library

embedding and grouping pixels into boundary, proposal, segment and object instance.

Semantic segmentation on iPhone using ESPNetv2

mIOU=80.02 on cityscapes. My implementation of deeplabv3+ (also know as 'Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation' based on the dataset of cityscapes).

Segmentation of ID Cards using Semantic Segmentation

A curated list of awesome data labeling tools

Fully convolutional networks for semantic segmentation

An (re-)implementation of DeepLab v2 (ResNet-101) in TensorFlow for semantic image segmentation on the PASCAL VOC 2012 dataset.

Tensorflow implementation of "Semantic Instance Segmentation with a Discriminative Loss Function"

Another pytorch implementation of FCN (Fully Convolutional Networks)

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

Pytorch implementation of GCN architecture for semantic segmentation

Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors

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

[CVPR 2020] MTL-NAS: Task-Agnostic Neural Architecture Search towards General-Purpose Multi-Task Learning

Download City Scapes Dataset using this script

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

PyTorch for Semantic Segmentation

Code for Universal Semi-Supervised Semantic Segmentation models paper accepted in ICCV 2019

The ROS Package of Mask R-CNN for Object Detection and Segmentation

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

A framework for training segmentation models in pytorch on labelme annotations with pretrained examples of skin, cat, and pizza topping segmentation

An awesome semantic segmentation model that runs in real time

CCNet: Criss-Cross Attention for Semantic Segmentation (TPAMI 2020 & ICCV 2019).

FPConv: Learning Local Flattening for Point Convolution, CVPR 2020

Training & Quantization of embedded friendly Deep Learning / Machine Learning / Computer Vision models

🤘 awesome-semantic-segmentation

Deep Learning sample programs using PyTorch in C++

An easy-to-use wrapper for work with dense per-pixel tasks in PyTorch (including multi-task learning)

A c++ trainable semantic segmentation library based on libtorch (pytorch c++). Backbone: ResNet, ResNext. Architecture: FPN, U-Net, PAN, LinkNet, PSPNet, DeepLab-V3, DeepLab-V3+ by now.

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

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

Deep Label Distribution Learning with Label Ambiguity

PyTorch implementation of PSPNet

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

Segmentation of Lungs from Chest X-Rays using Fully Connected Networks