780 Open source projects that are alternatives of or similar to AttaNet

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

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

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

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

Implementation details for EDANet

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

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

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

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

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Official PyTorch implementation of SegFormer

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

ENet: A Deep Neural Network Architecture for Real-Time Semantic Segmentation

PyTorch implementation of "Pyramid Scene Parsing Network".

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

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

ShanghaiTech PLUS Lab Segmentation Toolbox and Benchmark

Fully Convolutional HarDNet for Segmentation 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

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

Lightweight models for real-time semantic segmentation(include mobilenetv1-v3, shufflenetv1-v2, igcv3, efficientnet).

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LEDNet: A Lightweight Encoder-Decoder Network for Real-time Semantic Segmentation

ESNet: An Efficient Symmetric Network for Real-time Semantic Segmentation

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

lightweight and efficient cnn for semantic segmentation, my blog address:

Multi-Task (Joint Segmentation / Depth / Surface Normas) Real-Time Light-Weight RefineNet

HyperSeg - Official PyTorch Implementation

SOTA Semantic Segmentation Models in PyTorch

This repository contains code and tools for reading, processing, evaluating on, and visualizing Panoptic Parts datasets. Moreover, it contains code for reproducing our CVPR 2021 paper results.

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

LightNet++: Boosted Light-weighted Networks for Real-time 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)

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

Pytorch code for semantic segmentation using ERFNet

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

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)

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

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.)

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

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

Exploring Cross-Image Pixel Contrast for Semantic Segmentation

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

PSPNet in Chainer

Tensorflow 2.3.0 implementation of DeepLabV3-Plus

ESPNet: Efficient Spatial Pyramid of Dilated Convolutions for Semantic Segmentation

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

ESANet: Efficient RGB-D Semantic Segmentation for Indoor Scene Analysis

Cell Detection with PyTorch.

Redux over the wire

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

OpenCVのGrabCut()を利用したセマンティックセグメンテーション向けアノテーションツール(Annotation tool using GrabCut() of OpenCV. It can be used to create datasets for semantic segmentation.)

BlindAssist iOS app

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Kidney Tumor Segmentation Challenge 2019

Predict performance issues with manufacturing equipment motors. Perform local or cloud analytics of the issues found, and then display the data on a user interface to determine when failures might arise.

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

This is the example implementation of UNet model for semantic segmentations