ade20k
There are 44 repositories under ade20k topic.
microsoft/Swin-Transformer
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
CSAILVision/semantic-segmentation-pytorch
Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
NVlabs/SegFormer
Official PyTorch implementation of SegFormer
apple/ml-cvnets
CVNets: A library for training computer vision networks
CoinCheung/BiSeNet
Add bisenetv2. My implementation of BiSeNet
SHI-Labs/OneFormer
OneFormer: One Transformer to Rule Universal Image Segmentation, arxiv 2022 / CVPR 2023
SwinTransformer/Swin-Transformer-Semantic-Segmentation
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Semantic Segmentation.
sithu31296/semantic-segmentation
SOTA Semantic Segmentation Models in PyTorch
NVlabs/FasterViT
[ICLR 2024] Official PyTorch implementation of FasterViT: Fast Vision Transformers with Hierarchical Attention
NVlabs/GCVit
[ICML 2023] Official PyTorch implementation of Global Context Vision Transformers
hellochick/ICNet-tensorflow
TensorFlow-based implementation of "ICNet for Real-Time Semantic Segmentation on High-Resolution Images".
hellochick/PSPNet-tensorflow
TensorFlow-based implementation of "Pyramid Scene Parsing Network".
Picsart-AI-Research/SeMask-Segmentation
[NIVT Workshop @ ICCV 2023] SeMask: Semantically Masked Transformers for Semantic Segmentation
ViTAE-Transformer/ViTAE-Transformer
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"
implus/UM-MAE
Official Codes for "Uniform Masking: Enabling MAE Pre-training for Pyramid-based Vision Transformers with Locality"
Westlake-AI/MogaNet
[ICLR 2024] MogaNet: Efficient Multi-order Gated Aggregation Network
hellochick/Indoor-segmentation
Indoor segmentation for robot navigating, which is based on deeplab model in TensorFlow.
hellochick/semantic-segmentation-tensorflow
Semantic segmentation task for ADE20k & cityscapse dataset, based on several models.
Haochen-Wang409/HPM
[CVPR'23] Hard Patches Mining for Masked Image Modeling
mitmul/chainer-pspnet
PSPNet in Chainer
baudcode/tf-semantic-segmentation
Semantic Segmentation using Tensorflow on popular Datasets like Ade20k, Camvid, Coco, PascalVoc
apple/ml-autofocusformer-segmentation
This is an official implementation for "AutoFocusFormer: Image Segmentation off the Grid".
Haochen-Wang409/DropPos
[NeurIPS'23] DropPos: Pre-Training Vision Transformers by Reconstructing Dropped Positions
switchablenorms/SwitchNorm_Segmentation
Switchable Normalization for semantic image segmentation and scene parsing.
iduta/pyconvsegnet
Semantic Segmentation PyTorch code for our paper: Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)
bjekic/WallSegmentation
Implementation of a wall segmentation algorithm in PyTorch.
Junjun2016/DMNet
Dynamic Multi-scale Filters for Semantic Segmentation (DMNet ICCV'2019)
Junjun2016/APCNet
Adaptive Pyramid Context Network for Semantic Segmentation (APCNet CVPR'2019)
wonderit/indoor-segmentation-android
indoor segmentation - indoor semantic segmentation Android using Deeplabv3 MobileNetV2 trained with ADE20K dataset
Junjun2016/LiteHRNet
Lite-HRNet: A Lightweight High-Resolution Network
ibaiGorordo/depthai-TopFormer-Semantic-Segmentation
Python scripts performing on devive semantic segmentation using the TopFormer model in depthai.
ibaiGorordo/ONNX-TopFormer-Semantic-Segmentation
Python scripts performing semantic segmentation using the TopFormer model in ONNX.
Nikronic/ObjectNet
PyTorch implementation of "Pyramid Scene Parsing Network".
vidit98/graphconv
pytorch implementation of graph convolutions for semantic segmentation on ADE20K dataset
SHI-Labs/OneFormer-Colab
[Colab Demo Code] OneFormer: One Transformer to Rule Universal Image Segmentation.
ZhouYuxuanYX/SP-ViT-Learning-2D-Spatial-Priors-for-Vision-Transformers
This is the official implementation of our BMVC 2022 paper "SP-ViT: Learning 2D Spatial Priors for Vision Transformers"