387 Open source projects that are alternatives of or similar to Bisenetv2 Tensorflow

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

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

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

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

Exploring Cross-Image Pixel Contrast for Semantic Segmentation

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

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

ShanghaiTech PLUS Lab Segmentation Toolbox and Benchmark

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

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

PSPNet in Chainer

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

Official PyTorch implementation of SegFormer

SOTA Semantic Segmentation Models in PyTorch

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

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

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

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

Photographic Image Synthesis with Cascaded Refinement Networks - Pytorch Implementation

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

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.

Understanding Convolution for Semantic Segmentation

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.)

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)

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

Implementation details for EDANet

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

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

AttaNet for real-time semantic segmentation.

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

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

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

Tensorflow 2.3.0 implementation of DeepLabV3-Plus

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

遥感图像的语义分割，基于深度学习，在Tensorflow框架下，利用TF.Keras，运行环境TF2.0+

Tensorflow implementation : U-net and FCN with global convolution

Collection of computer vision models, ready to be included in a JVM project

Generic U-Net Tensorflow 2 implementation for semantic segmentation

Y-Net: Joint Segmentation and Classification for Diagnosis of Breast Biopsy Images

Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.

RefineNet-101 VOC in PyTorch

Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation

PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)

C++ based toolbox for the SUNCG dataset

Semantic Segmentation on PyTorch (include FCN, PSPNet, Deeplabv3, Deeplabv3+, DANet, DenseASPP, BiSeNet, EncNet, DUNet, ICNet, ENet, OCNet, CCNet, PSANet, CGNet, ESPNet, LEDNet, DFANet)

Criss-Cross Attention for Semantic Segmentation in pure Pytorch with a faster and more precise implementation.

ResUNet, a semantic segmentation model inspired by the deep residual learning and UNet. An architecture that take advantages from both(Residual and UNet) models.

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

a tensorflow implement of refinenet ,RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation

Not All Pixels Are Equal: Difficulty-Aware Semantic Segmentation via Deep Layer Cascade

Hierarchical perception library in Python for pose estimation, object detection, instance segmentation, keypoint estimation, face recognition, etc.

mIOU=80.02 on cityscapes. My implementation of deeplabv3+ (also know as 'Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation' based on the dataset of cityscapes).

Deep learning applied to georeferenced datasets

📚 A collection of papers about Referring Image Segmentation.

An opensource lib. for vehicle vision applications (written by MATLAB), lane marking detection, road segmentation

Self-Ensembling Attention Networks: Addressing Domain Shift for Semantic Segmentation