This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
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Updated
Feb 21, 2023 - Python
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
Official PyTorch implementation of SegFormer
CVNets: A library for training computer vision networks
Add bisenetv2. My implementation of BiSeNet
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Semantic Segmentation.
[CVPR 2023] OneFormer: One Transformer to Rule Universal Image Segmentation
SOTA Semantic Segmentation Models in PyTorch
TensorFlow-based implementation of "ICNet for Real-Time Semantic Segmentation on High-Resolution Images".
SimpleAICV:pytorch training and testing examples on ImageNet(ILSVRC2012)/COCO2017/VOC2007+2012/CIFAR100/AED20K datasets.Include classification/object detection/distillation/contrastive learning/masked image modeling.
TensorFlow-based implementation of "Pyramid Scene Parsing Network".
Official PyTorch implementation of Global Context Vision Transformers
[Preprint] SeMask: Semantically Masked Transformers for Semantic Segmentation, 2021
Official Codes for "Uniform Masking: Enabling MAE Pre-training for Pyramid-based Vision Transformers with Locality"
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"
Indoor segmentation for robot navigating, which is based on deeplab model in TensorFlow.
Semantic segmentation task for ADE20k & cityscapse dataset, based on several models.
PSPNet in Chainer
Semantic Segmentation using Tensorflow on popular Datasets like Ade20k, Camvid, Coco, PascalVoc
Switchable Normalization for semantic image segmentation and scene parsing.
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