544 Open source projects that are alternatives of or similar to IAST-ECCV2020

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

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

Multichannel Semantic Segmentation with Unsupervised Domain Adaptation

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

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

SOTA Semantic Segmentation Models in PyTorch

[NeurIPS2021 Poster] LoveDA: A Remote Sensing Land-Cover Dataset for Domain Adaptive Semantic Segmentation

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

Exploring Cross-Image Pixel Contrast for Semantic Segmentation

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

Code for <Domain Adaptation for Semantic Segmentation via Class-Balanced Self-Training> in ECCV18

Understanding Convolution for Semantic Segmentation

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

Curriculum Domain Adaptation for Semantic Segmentation of Urban Scenes, ICCV 2017

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

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

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

AttaNet for real-time semantic segmentation.

Tensorflow 2.3.0 implementation of DeepLabV3-Plus

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 -- All about Structure: Adapting Structural Information across Domains for Boosting Semantic Segmentation, CVPR 2019

Learning from Synthetic Data: Addressing Domain Shift for Semantic Segmentation

Unsupervised Intra-domain Adaptation for Semantic Segmentation through Self-Supervision (CVPR 2020 Oral)

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

Code for ECCV 2020 paper (oral): Mining Cross-Image Semantics for Weakly Supervised Semantic Segmentation

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

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

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

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

Implementation details for EDANet

Official Detectron2 implementation of DA-RetinaNet of our Image and Vision Computing 2021 work 'An unsupervised domain adaptation scheme for single-stage artwork recognition in cultural sites'

Official PyTorch implementation of SegFormer

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.)

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

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

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

Photographic Image Synthesis with Cascaded Refinement Networks - Pytorch Implementation

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

Pytorch code for semantic segmentation using ERFNet

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)

PSPNet in Chainer

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

Learning to Adapt Structured Output Space for Semantic Segmentation, CVPR 2018 (spotlight)

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

Fully Convolutional HarDNet for Segmentation in Pytorch

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

( CVPR2019 Oral ) Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation

手工实现的智能图片处理系统 包含基础的图片处理功能 各类滤波 seam carving算法 以及结合精细语义分割信息 实现智能去除目标的功能

Paper notes in deep learning/machine learning and computer vision

Crack Segmentation for Low-Resolution Images using Joint Learning with Super-Resolution (CSSR) was accepted to international conference on MVA2021 (oral), and selected for the Best Practical Paper Award.

Pytorch implementation of four neural network based domain adaptation techniques: DeepCORAL, DDC, CDAN and CDAN+E. Evaluated on benchmark dataset Office31.

Corresponding implementations for the IROS 2018 paper "Modular Sensor Fusion for Semantic Segmentation"

Caffe: a fast open framework for deep learning.

MetalCity - a procedural night city landscape generator

FCN, U-Net models implementation in TensorFlow for fashion clothing parsing

The remote sensing image semantic segmentation repository based on tf.keras includes backbone networks such as resnet, densenet, mobilenet, and segmentation networks such as deeplabv3+, pspnet, panet, and refinenet.

No description or website provided.

4th place solution in Baidu Autonomous Driving Lane Segmentation

stylegan-nada.github.io/