743 Open source projects that are alternatives of or similar to SegFormer

SOTA Semantic Segmentation Models in PyTorch

The OCR approach is rephrased as Segmentation Transformer: https://arxiv.org/abs/1909.11065. This is an official implementation of semantic segmentation for HRNet. https://arxiv.org/abs/1908.07919

Semantic segmentation task for ADE20k & cityscapse dataset, based on several models.

AttaNet for real-time semantic segmentation.

Code for https://arxiv.org/abs/1611.10080

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows" on Semantic Segmentation.

Semantic Segmentation PyTorch code for our paper: Pyramidal Convolution: Rethinking Convolutional Neural Networks for Visual Recognition (https://arxiv.org/pdf/2006.11538.pdf)

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

Pytorch code for semantic segmentation using ERFNet

TensorFlow-based implementation of "Pyramid Scene Parsing Network".

LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)

PSPNet in Chainer

Segmentation models (ERFNet, ENet, DeepLab, FCN...) and Lane detection models (SCNN, SAD, PRNet, RESA, LSTR...) based on PyTorch 1.6 with mixed precision training

CGNet: A Light-weight Context Guided Network for Semantic Segmentation [IEEE Transactions on Image Processing 2020]

IJCAI2020 & IJCV 2020 🌇 Unsupervised Scene Adaptation with Memory Regularization in vivo

ShanghaiTech PLUS Lab Segmentation Toolbox and Benchmark

A PyTorch implementation of semantic segmentation according to Multi-Scale Context Aggregation by Dilated Convolutions by Yu and Koltun.

Indoor segmentation for robot navigating, which is based on deeplab model in TensorFlow.

Photographic Image Synthesis with Cascaded Refinement Networks - Pytorch Implementation

[ICLR 2020] "FasterSeg: Searching for Faster Real-time Semantic Segmentation" by Wuyang Chen, Xinyu Gong, Xianming Liu, Qian Zhang, Yuan Li, Zhangyang Wang

Understanding Convolution for Semantic Segmentation

Tensorflow 2.3.0 implementation of DeepLabV3-Plus

Depth-wise Asymmetric Bottleneck for Real-time Semantic Segmentation (BMVC2019)

Code for Fast Neural Architecture Search of Compact Semantic Segmentation Models via Auxiliary Cells, CVPR '19

Unofficial tensorflow implementation of real-time scene image segmentation model "BiSeNet V2: Bilateral Network with Guided Aggregation for Real-time Semantic Segmentation"

LightNet++: Boosted Light-weighted Networks for Real-time Semantic Segmentation

This is Pytorch re-implementation of our CVPR 2020 paper "Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation" (https://arxiv.org/abs/1911.10194)

Lightweight models for real-time semantic segmentationon PyTorch (include SQNet, LinkNet, SegNet, UNet, ENet, ERFNet, EDANet, ESPNet, ESPNetv2, LEDNet, ESNet, FSSNet, CGNet, DABNet, Fast-SCNN, ContextNet, FPENet, etc.)

Exploring Cross-Image Pixel Contrast for Semantic Segmentation

Pytorch implementation for Semantic Segmentation/Scene Parsing on MIT ADE20K dataset

Implementation details for EDANet

📸 PyTorch implementation of MobileNetV3 for real-time semantic segmentation, with pretrained weights & state-of-the-art performance

TensorFlow-based implementation of "ICNet for Real-Time Semantic Segmentation on High-Resolution Images".

Implementation of Our ECCV2020-work: Improving Semantic Segmentation via Decoupled Body and Edge Supervision

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

IAST: Instance Adaptive Self-training for Unsupervised Domain Adaptation (ECCV 2020) https://teacher.bupt.edu.cn/zhuchuang/en/index.htm

LightNet: Light-weight Networks for Semantic Image Segmentation (Cityscapes and Mapillary Vistas Dataset)

[CVPR 2021] Forecasting the panoptic segmentation of future video frames

Implementation of our paper "DMT: Dynamic Mutual Training for Semi-Supervised Learning"

PyTorch implementation of "Pyramid Scene Parsing Network".

[MICCAI2022] This is an official PyTorch implementation for A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation

This repository contains the source code of our work on designing efficient CNNs for computer vision

Fully Convolutional HarDNet for Segmentation in Pytorch

Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers

Experiments with UNET/FPN models and cityscapes/kitti datasets [Pytorch]

Official implementation of Auxiliary Learning by Implicit Differentiation [ICLR 2021]

A data set and model for german sentiment classification.

Official implementation of the Keyword Transformer: https://arxiv.org/abs/2104.00769

BlindAssist iOS app

Graphormer is a deep learning package that allows researchers and developers to train custom models for molecule modeling tasks. It aims to accelerate the research and application in AI for molecule science, such as material design, drug discovery, etc.

JSON API transformer outputting valid (PSR-7) API Responses.

Topic clustering library built on Transformer embeddings and cosine similarity metrics.Compatible with all BERT base transformers from huggingface.

Русскоязычный чат-бот для Discord на архитектуре Transformer

🍔🍟🍗 Food analysis baseline with Theseus. Integrate object detection, image classification and multi-class semantic segmentation. 🍞🍖🍕

Open-Source Toolkit for End-to-End Korean Automatic Speech Recognition leveraging PyTorch and Hydra.

Further developed as SyntaxDot: https://github.com/tensordot/syntaxdot

This repository focuses on training semantic segmentation models to predict the presence of floodwater for disaster prevention. Models were trained using SageMaker and Colab.

Transformer related optimization, including BERT, GPT

rxjava scheduler transformer tools for android

[ICCV 2021] FaPN: Feature-aligned Pyramid Network for Dense Image Prediction