390 Open source projects that are alternatives of or similar to Automated-objects-removal-inpainter

Segmentation models with pretrained backbones. PyTorch.

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

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

[ICIP 2019] : This is the official github repository for the paper "What's There in The Dark" accepted in IEEE International Conference in Image Processing 2019 (ICIP19) , Taipei, Taiwan.

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

4th place solution in Baidu Autonomous Driving Lane Segmentation

TensorFlow implementation of LinkNet

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Mix3D: Out-of-Context Data Augmentation for 3D Scenes (3DV 2021 Oral)

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.

Toolkit for the generation and analysis of volume eletron microscopy based synaptic connectomes of brain tissue.

[IROS 2021] Implementation of "Similarity-Aware Fusion Network for 3D Semantic Segmentation"

A list of popular deep learning models related to classification, segmentation and detection problems

ESANet: Efficient RGB-D Semantic Segmentation for Indoor Scene Analysis

Repo for "3D-PV-Locator: Large-scale detection of rooftop-mounted photovoltaic systems in 3D" based on Applied Energy publication.

[ICCV 2021] FaPN: Feature-aligned Pyramid Network for Dense Image Prediction

Paper notes in deep learning/machine learning and computer vision

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.)

[ICLR2022] official implementation of UniFormer

Implementing polyp segmentation using the U-Net and CVC-612 dataset.

Semantic Image Segmentation by Scale-Adaptive Networks (TIP 2019)

🍀 Pytorch Implementation of RandLA-Net (https://arxiv.org/abs/1911.11236)

This is the example implementation of UNet model for semantic segmentations

Official implementation of Auxiliary Learning by Implicit Differentiation [ICLR 2021]

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.

Kidney Tumor Segmentation Challenge 2019

This repository focuses on training semantic segmentation models to predict the presence of floodwater for disaster prevention. Models were trained using SageMaker and Colab.

This is a implement of the Siggraph2017 paper: "Globally and Locally Consistent Image Completion"

Cut and paste augmentation for object detection and instance segmentation

Code and dataset for the IJCAI 2021 paper "Document-level Relation Extraction as Semantic Segmentation".

A curated list of generative deep learning tools, works, models, etc. for artistic uses

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

HyperSeg - Official PyTorch Implementation

Pytorch Implementation of "Adversarial Learning For Semi-Supervised Semantic Segmentation" for ICLR 2018 Reproducibility Challenge

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Progressive Image Inpainting (Kolmogorov Team solution for Huawei Hackathon 2019 summer)

Official PyTorch implementation of SegFormer

2D and 3D UNet implementation in PyTorch.

Unofficial code base for UNETR: Transformers for 3D Medical Image Segmentation

Caffe: a fast open framework for deep learning.

AttaNet for real-time semantic segmentation.

✂️ Automated high-quality background removal framework for an image using neural networks. ✂️

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

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MFNet-pytorch, image semantic segmentation using RGB-Thermal images

Cell Detection with PyTorch.

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

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

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

Virtual Video Device for Background Replacement with Deep Semantic Segmentation

a tensorflow version for SEC approach in the paper "seed, expand and constrain: three principles for weakly-supervised image segmentation".

Semantic Segmentation Models in Pytorch

Semantic-TSDF for Self-driving Static Scene Reconstruction

Implementation details for EDANet

A High Level Python Library to empower students, developers to build applications and systems enabled with computer vision capabilities.

The implementation of 3D-UNet using PyTorch

🍔🍟🍗 Food analysis baseline with Theseus. Integrate object detection, image classification and multi-class semantic segmentation. 🍞🍖🍕