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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
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
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"
[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.
[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"