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

The code of Switchable Normalization for semantic image segmentation

PSPNet in Chainer

Switchable Normalization for semantic image segmentation and scene parsing.

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

pytorch implementation of graph convolutions for semantic segmentation on ADE20K dataset

PSPNet in Tensorflow 2 with pretrained weights for ADE20k, CityScapes and VOC2012

Semantic Segmentation PyTorch code for our paper: Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)

Adaptive Pyramid Context Network for Semantic Segmentation (APCNet CVPR'2019)

Dynamic Multi-scale Filters for Semantic Segmentation (DMNet ICCV'2019)

PyTorch implementation of "Pyramid Scene Parsing Network".

Python scripts performing semantic segmentation using the TopFormer model in ONNX.

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Semantic Segmentation.

Lite-HRNet: A Lightweight High-Resolution Network

Indoor segmentation for robot navigating, which is based on deeplab model in TensorFlow.

Semantic Segmentation using Tensorflow on popular Datasets like Ade20k, Camvid, Coco, PascalVoc

This is the official implementation of our BMVC 2022 paper "SP-ViT: Learning 2D Spatial Priors for Vision Transformers"

The official repo for [NeurIPS'21] "ViTAE: Vision Transformer Advanced by Exploring Intrinsic Inductive Bias" and [IJCV'22] "ViTAEv2: Vision Transformer Advanced by Exploring Inductive Bias for Image Recognition and Beyond"

[Colab Demo Code] OneFormer: One Transformer to Rule Universal Image Segmentation.