README and scripts for the Cityscapes Dataset
Pretrained DeepLabv3 and DeepLabv3+ for Pascal VOC & Cityscapes
#计算机科学#PyTorch implementation of DeepLabV3, trained on the Cityscapes dataset.
LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)
#计算机科学#TensorFlow implementation of ENet, trained on the Cityscapes dataset.
A simple PyTorch codebase for semantic segmentation using Cityscapes.
Official PyTorch implementation of SegFormer
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).
#计算机科学#Experiments with UNET/FPN models and cityscapes/kitti datasets [Pytorch]
#计算机科学#Clean Implementation of Unet3+ and validation on Cityscapes dataset.
This repo provides ⚡ fast⚡ semantic segmentation models on CityScapes/Camvid DataSet by Pytorch
Modified real-time instance segmentation network YOLACT for several object categories on CityScapes dataset
A dataset from cityscapes and citypersons , which provide pedestrian bounding box and road segementation information
ICNet implemented by pytorch, for real-time semantic segmentation on high-resolution images, mIOU=71.0 on cityscapes, single inference time is 19ms, FPS is 52.6.
This is the unofficial code of Deep Dual-resolution Networks for Real-time and Accurate Semantic Segmentation of Road Scenes. which achieve state-of-the-art trade-off between accuracy and speed on ci...