639 Open source projects that are alternatives of or similar to Pytorch Auto Drive

Implementation of our paper "DMT: Dynamic Mutual Training for Semi-Supervised Learning"

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

GoogLeNet implementation of Fully Convolutional Networks for Semantic Segmentation in TensorFlow

FCN for Semantic Image Segmentation achieving 68.5 mIoU on PASCAL VOC

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

PSPNet in Chainer

Fully Convolutional HarDNet for Segmentation in Pytorch

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

Weakly-Supervised Semantic Segmentation Network with Deep Seeded Region Growing (CVPR 2018).

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

Implementation details for EDANet

AttaNet for real-time semantic segmentation.

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'

Exploring Cross-Image Pixel Contrast for Semantic Segmentation

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

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

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

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

Semantic segmentation for classifying road. "Fully Convolutional Networks for Semantic Segmentation (2015)" implemented using TF

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

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

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

DL & CV & Neural Network

WMH segmentaion with unet, dilated_unet, and with ideas from denseNet

常用的语义分割架构结构综述以及代码复现

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

Pytorch code for semantic segmentation using ERFNet

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

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

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

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

Tensorflow implementation : U-net and FCN with global convolution

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

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

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

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

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

FCN, U-Net models implementation in TensorFlow for fashion clothing parsing

DeepLab-LargeFOV implemented in tensorflow

Official PyTorch implementation of SegFormer

SOTA Semantic Segmentation Models in PyTorch

Photographic Image Synthesis with Cascaded Refinement Networks - Pytorch Implementation

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

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

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

ShanghaiTech PLUS Lab Segmentation Toolbox and Benchmark

DeepLabv3 built in TensorFlow

DeepLab-ResNet rebuilt in Pytorch

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

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

Understanding Convolution for Semantic Segmentation

Pixel-wise segmentation on VOC2012 dataset using pytorch.

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)

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

DeepLabv3, DeepLabv3+ and pretrained weights on VOC & Cityscapes

DeepLab-ResNet rebuilt in TensorFlow

DeepLab resnet v2 model in pytorch

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

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

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.)