”cityscapes“ 的搜索结果

README and scripts for the Cityscapes Dataset

Pretrained DeepLabv3 and DeepLabv3+ for Pascal VOC & Cityscapes

PyTorch implementation of DeepLabV3, trained on the Cityscapes dataset.

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

TensorFlow implementation of ENet, trained on the Cityscapes dataset.

A simple PyTorch codebase for semantic segmentation using Cityscapes.

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).

Official PyTorch implementation of SegFormer

翻译 - 《SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers》的官方实现

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

This repo provides ⚡ fast⚡ semantic segmentation models on CityScapes/Camvid DataSet by Pytorch

Clean Implementation of Unet3+ and validation on Cityscapes dataset.

Modified real-time instance segmentation network YOLACT for several object categories on CityScapes dataset

RGBD Semantic Segmentation on NYUv2, SUN RGBD and CityScapes (pretraining with SceneNet RGB-D)

A dataset from cityscapes and citypersons , which provide pedestrian bounding box and road segementation information

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...