387 Open source projects that are alternatives of or similar to Contrastiveseg

ShanghaiTech PLUS Lab Segmentation Toolbox and Benchmark

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

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

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

Pytorch code for semantic segmentation using ERFNet

Implementation details for EDANet

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

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

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

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.)

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

Photographic Image Synthesis with Cascaded Refinement Networks - Pytorch Implementation

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

Understanding Convolution for Semantic Segmentation

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

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

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

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

AttaNet for real-time semantic segmentation.

PSPNet in Chainer

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

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

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

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

Tensorflow 2.3.0 implementation of DeepLabV3-Plus

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)

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

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

SOTA Semantic Segmentation Models in PyTorch

Official PyTorch implementation of SegFormer

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

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

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

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

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

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

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

train test labels for sunrgbd

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

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

PyTorch for Semantic Segmentation

Deep learning applied to georeferenced datasets

📚 A collection of papers about Referring Image Segmentation.

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

A simpler way of reading and augmenting image segmentation data into TensorFlow

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

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

WB color augmenter improves the accuracy of image classification and image semantic segmentation methods by emulating different WB effects (ICCV 2019) [Python & Matlab].

FPConv: Learning Local Flattening for Point Convolution, CVPR 2020

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

End-to-end image segmentation kit based on PaddlePaddle.

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+

Deep Learning sample programs using PyTorch in C++

DoubleU-Net for Semantic Image Segmentation in TensorFlow Keras

Keras implementation of Real-Time Semantic Segmentation on High-Resolution Images

[NeurIPS 2020] Code release for paper "Deep Multimodal Fusion by Channel Exchanging" (In PyTorch)