This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
翻译 - 这是“Swin Transformer：Hierarchical Vision Transformer using Shifted Windows”的官方实现。
Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset
翻译 - MIT ADE20K数据集的语义分割/场景解析的Pytorch实现
Official PyTorch implementation of SegFormer
翻译 - 《SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers》的官方实现
#计算机科学#CVNets: A library for training computer vision networks
[CVPR 2023] OneFormer: One Transformer to Rule Universal Image Segmentation
Add bisenetv2. My implementation of BiSeNet
#计算机科学#SOTA Semantic Segmentation Models in PyTorch
#计算机科学#[ICLR 2024] Official PyTorch implementation of FasterViT: Fast Vision Transformers with Hierarchical Attention
#计算机科学#[ICML 2023] Official PyTorch implementation of Global Context Vision Transformers
TensorFlow-based implementation of "ICNet for Real-Time Semantic Segmentation on High-Resolution Images".
TensorFlow-based implementation of "Pyramid Scene Parsing Network".
#计算机科学#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 ...
[NIVT Workshop @ ICCV 2023] SeMask: Semantically Masked Transformers for Semantic Segmentation
Official Codes for "Uniform Masking: Enabling MAE Pre-training for Pyramid-based Vision Transformers with Locality"
#计算机科学#[ICLR 2024] MogaNet: Efficient Multi-order Gated Aggregation Network
Indoor segmentation for robot navigating, which is based on deeplab model in TensorFlow.
[CVPR'23] Hard Patches Mining for Masked Image Modeling
Semantic segmentation task for ADE20k & cityscapse dataset, based on several models.
Semantic Segmentation using Tensorflow on popular Datasets like Ade20k, Camvid, Coco, PascalVoc