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This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
OneFormer: One Transformer to Rule Universal Image Segmentation, arxiv 2022 / CVPR 2023
Add bisenetv2. My implementation of BiSeNet
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Semantic Segmentation.
SOTA Semantic Segmentation Models in PyTorch
[ICLR 2024] Official PyTorch implementation of FasterViT: Fast Vision Transformers with Hierarchical Attention
TensorFlow-based implementation of "ICNet for Real-Time Semantic Segmentation on High-Resolution Images".
TensorFlow-based implementation of "Pyramid Scene Parsing Network".
[NIVT Workshop @ ICCV 2023] SeMask: Semantically Masked Transformers for Semantic Segmentation
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"
Official Codes for "Uniform Masking: Enabling MAE Pre-training for Pyramid-based Vision Transformers with Locality"
[ICLR 2024] MogaNet: Efficient Multi-order Gated Aggregation Network
Indoor segmentation for robot navigating, which is based on deeplab model in TensorFlow.
Semantic segmentation task for ADE20k & cityscapse dataset, based on several models.
[CVPR'23] Hard Patches Mining for Masked Image Modeling
PSPNet in Chainer
Semantic Segmentation using Tensorflow on popular Datasets like Ade20k, Camvid, Coco, PascalVoc
This is an official implementation for "AutoFocusFormer: Image Segmentation off the Grid".
[NeurIPS'23] DropPos: Pre-Training Vision Transformers by Reconstructing Dropped Positions
Switchable Normalization for semantic image segmentation and scene parsing.
Semantic Segmentation PyTorch code for our paper: Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)
Implementation of a wall segmentation algorithm in PyTorch.
Dynamic Multi-scale Filters for Semantic Segmentation (DMNet ICCV'2019)
Adaptive Pyramid Context Network for Semantic Segmentation (APCNet CVPR'2019)
indoor segmentation - indoor semantic segmentation Android using Deeplabv3 MobileNetV2 trained with ADE20K dataset
Lite-HRNet: A Lightweight High-Resolution Network
Python scripts performing on devive semantic segmentation using the TopFormer model in depthai.
Python scripts performing semantic segmentation using the TopFormer model in ONNX.
pytorch implementation of graph convolutions for semantic segmentation on ADE20K dataset
[Colab Demo Code] OneFormer: One Transformer to Rule Universal Image Segmentation.
This is the official implementation of our BMVC 2022 paper "SP-ViT: Learning 2D Spatial Priors for Vision Transformers"