62 Open source projects that are alternatives of or similar to Pytorch-ENet-Nice

Semantic segmentation task for ADE20k & cityscapse dataset, based on several models.

SOTA Semantic Segmentation Models in PyTorch

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).

Original Mafia2 Multiplayer modification

Add bisenetv2. My implementation of BiSeNet

Exploring Cross-Image Pixel Contrast for Semantic Segmentation

Cityscapes to CoCo Format Conversion Tool for Mask-RCNN and Detectron

Switchable Normalization for semantic image segmentation and scene parsing.

AttaNet for real-time semantic segmentation.

Papers and Benchmarks about semantic segmentation, instance segmentation, panoptic segmentation and video segmentation

Implementation of Our ECCV2020-work: Improving Semantic Segmentation via Decoupled Body and Edge Supervision

DeepLabv3, DeepLabv3+ and pretrained weights on VOC & Cityscapes

Fully Convolutional HarDNet for Segmentation in Pytorch

Image to Image Translation using Conditional GANs (Pix2Pix) implemented using Tensorflow 2.0

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

Official Detectron2 implementation of DA-RetinaNet of our Image and Vision Computing 2021 work 'An unsupervised domain adaptation scheme for single-stage artwork recognition in cultural sites'

PSPNet in Chainer

Experiments with UNET/FPN models and cityscapes/kitti datasets [Pytorch]

Tensorflow 2.3.0 implementation of DeepLabV3-Plus

ShanghaiTech PLUS Lab Segmentation Toolbox and Benchmark

Understanding Convolution for Semantic Segmentation

Using ENet-CSharp for a multiplayer setup with a Unity Client and .Net Core Server environment

TensorFlow-based implementation of "ICNet for Real-Time Semantic Segmentation on High-Resolution Images".

This is Pytorch re-implementation of our CVPR 2020 paper "Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation" (https://arxiv.org/abs/1911.10194)

This repository contains the source code of our work on designing efficient CNNs for computer vision

IJCAI2020 & IJCV 2020 🌇 Unsupervised Scene Adaptation with Memory Regularization in vivo

TensorFlow-based implementation of "Pyramid Scene Parsing Network".

The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919

IAST: Instance Adaptive Self-training for Unsupervised Domain Adaptation (ECCV 2020) https://teacher.bupt.edu.cn/zhuchuang/en/index.htm

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

Finally, an MMORPG that's all about grinding and doing chores.

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

A improved fork of ENet, a tried and true networking library. C, C++, C# compatible.

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

A PyTorch implementation of semantic segmentation according to Multi-Scale Context Aggregation by Dilated Convolutions by Yu and Koltun.

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

MetalCity - a procedural night city landscape generator

Download City Scapes Dataset using this script

Photographic Image Synthesis with Cascaded Refinement Networks - Pytorch Implementation

Segmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, SAD, PRNet, RESA, LSTR...) based on PyTorch 1.6 with mixed precision training

No description or website provided.

LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)

LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)

Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, ContextNet, FPENet, etc.)

ENet tutorials/examples for D programming language

Support PointRend, Fast_SCNN, HRNet, Deeplabv3_plus(xception, resnet, mobilenet), ContextNet, FPENet, DABNet, EdaNet, ENet, Espnetv2, RefineNet, UNet, DANet, HRNet, DFANet, HardNet, LedNet, OCNet, EncNet, DuNet, CGNet, CCNet, BiSeNet, PSPNet, ICNet, FCN, deeplab)

Official PyTorch implementation of SegFormer

[ICLR 2020] "FasterSeg: Searching for Faster Real-time Semantic Segmentation" by Wuyang Chen, Xinyu Gong, Xianming Liu, Qian Zhang, Yuan Li, Zhangyang Wang

Keeps time in sync between server and client.

Pytorch code for semantic segmentation using ERFNet

Code for https://arxiv.org/abs/1611.10080

LightNet++: Boosted Light-weighted Networks for Real-time Semantic Segmentation

[ICCV19] AdaptIS: Adaptive Instance Selection Network, https://arxiv.org/abs/1909.07829

BlindAssist iOS app

📸 PyTorch implementation of MobileNetV3 for real-time semantic segmentation, with pretrained weights & state-of-the-art performance

FCN for Semantic Image Segmentation achieving 68.5 mIoU on PASCAL VOC

PyTorch implementation of Image-to-Image Translation with Conditional Adversarial Nets (pix2pix)

[CVPR 2021] Forecasting the panoptic segmentation of future video frames

Implementation details for EDANet

CGNet: A Light-weight Context Guided Network for Semantic Segmentation [IEEE Transactions on Image Processing 2020]