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

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

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

Understanding Convolution for Semantic Segmentation

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

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

Fully Convolutional HarDNet for Segmentation in Pytorch

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

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

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

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

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

ShanghaiTech PLUS Lab Segmentation Toolbox and Benchmark

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

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

PSPNet in Chainer

Official PyTorch implementation of SegFormer

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

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

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

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

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

Photographic Image Synthesis with Cascaded Refinement Networks - Pytorch Implementation

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

SOTA Semantic Segmentation Models in PyTorch

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

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)

AttaNet for real-time semantic segmentation.

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

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

Tensorflow 2.3.0 implementation of DeepLabV3-Plus

Implementation details for EDANet

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

Pytorch code for semantic segmentation using ERFNet

WMH segmentaion with unet, dilated_unet, and with ideas from denseNet

Bonnet: An Open-Source Training and Deployment Framework for Semantic Segmentation in Robotics.

Computer Vision and Machine Learning related projects of Udacity's Self-driving Car Nanodegree Program

35% faster than ResNet: Harmonic DenseNet, A low memory traffic network

SemanticKITTI API for visualizing dataset, processing data, and evaluating results.

HugsVision is a easy to use huggingface wrapper for state-of-the-art computer vision

PyTorch implementation of "Pyramid Scene Parsing Network".

FC-DenseNet in PyTorch for Semantic Segmentation

(AAAI2020)Grapy-ML: Graph Pyramid Mutual Learning for Cross-dataset Human Parsing

"HoHoNet: 360 Indoor Holistic Understanding with Latent Horizontal Features" official pytorch implementation.

Segmentation models with pretrained backbones. PyTorch.

Semantic Segmentation Architectures Implemented in PyTorch

Implementation of "Automatic Portrait Segmentation" and "Deep Automatic Portrait Matting" with Chainer.

Building footprint segmentation from satellite and aerial imagery

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

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

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.

Deep Learning for Computer Vision (CommE 5052) in NTU

A curated list of resources focused on Machine Learning in Geospatial Data Science.

🔥TorchSat 🌏 is an open-source deep learning framework for satellite imagery analysis based on PyTorch.

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

Pytorch to train ENet of Cityscapes datasets and CamVid datasets nicely

DeepLab-ResNet rebuilt in Pytorch

1st place solution to the Satellite Remote Sensing Image Change Detection Challenge hosted by SenseTime