383 Open source projects that are alternatives of or similar to Piwise

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

deeplabv3plus (Google's new algorithm for semantic segmentation) in keras：Encoder-Decoder with Atrous Separable Convolution for Semantic Image Segmentation

Binary semantic segmentation with UNet based on MobileNetV2 encoder

DeepLab-ResNet rebuilt in Pytorch

This is a fully convolutional neural net exercise to detect houses from aerial images.

An out-of-box human parsing representation extractor.

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

Implementation of FCN (8/16/32) in Tensorflow. 🌀 在TensorFlow框架下实现 FCN (全卷积神经网络) 。

EntitySeg Toolbox: Towards Open-World and High-Quality Image Segmentation

An extension of Open3D to address 3D Machine Learning tasks

InstantDL: An easy and convenient deep learning pipeline for image segmentation and classification

A Comprehensive Analysis of Weakly-Supervised Semantic Segmentation in Different Image Domains (IJCV submission)

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

Semantically segment the road in the given image.

Pixie is a GUI annotation tool which provides the bounding box, polygon, free drawing and semantic segmentation object labelling

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

Data labeling react app that is backend agnostic and can be embedded into your applications — distributed as an NPM package

Volumetric Fusion of Multiple Semantic Labels and Masks

Semi-supervised Semantic Segmentation with Directional Context-aware Consistency (CVPR 2021)

BCDU-Net : Medical Image Segmentation

Semantic image segmentation network with pyramid atrous convolution and boundary-aware loss for Tensorflow.

A pointnet++ fork, with focus on semantic segmentation of differents datasets

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

Keras BiseNet architecture implementation

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

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

Squeeze-unet Semantic Segmentation for embedded devices

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

This is a repository for a semantic segmentation inference API using the OpenVINO toolkit

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

Inference script and frozen inference graph with fine tuned weights for semantic segmentation on images from the KITTI dataset.

Single-Stage Semantic Segmentation from Image Labels (CVPR 2020)

Easily train or fine-tune SOTA computer vision models with one open source training library

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

WaSR Segmentation Network for Unmanned Surface Vehicles v0.5

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

Official code of CVPR 2021's PLOP: Learning without Forgetting for Continual Semantic Segmentation

Building footprint segmentation from satellite and aerial imagery

A flexible Python front-end inference SDK based on TensorRT

DeepLabv3 built in TensorFlow

Source code (train/test) accompanying the paper entitled "Veritatem Dies Aperit - Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding Approach" in CVPR 2019 (https://arxiv.org/abs/1903.10764).

Deep Learning for Computer Vision (CommE 5052) in NTU

PyTorch implementation for semantic segmentation (DeepLabV3+, UNet, etc.)

U-NET Semantic Segmentation model for Mobile

real-time network architecture for mobile devices and semantic segmentation

Reimplementation of DeepLabV3

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

Automated object remover Inpainter is a project that combines Semantic segmentation and EdgeConnect architectures with minor changes in order to remove specified object/s from list of 20 objects from all the input photos

Photographic Image Synthesis with Cascaded Refinement Networks - Pytorch Implementation

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

AttaNet for real-time semantic segmentation.

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

🎨 Semantic segmentation models, datasets and losses implemented in PyTorch.

HyperSeg - Official PyTorch Implementation

A Tensorflow Implementation of Brain Tumor Segmentation using Topological Loss

Pixel Attentional Gating for Parsimonious Per-Pixel Labeling

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.)

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

Amazing Semantic Segmentation on Tensorflow && Keras (include FCN, UNet, SegNet, PSPNet, PAN, RefineNet, DeepLabV3, DeepLabV3+, DenseASPP, BiSegNet)