884 Open source projects that are alternatives of or similar to Smoothly Blend Image Patches

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

Segmentation models with pretrained backbones. PyTorch.

A Python Library for High-Level Semantic Segmentation Models based on TensorFlow and Keras with pretrained backbones.

A c++ trainable semantic segmentation library based on libtorch (pytorch c++). Backbone: ResNet, ResNext. Architecture: FPN, U-Net, PAN, LinkNet, PSPNet, DeepLab-V3, DeepLab-V3+ by now.

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

📚 A collection of papers about Referring Image Segmentation.

Artificial Intelligence Learning Notes.

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

常用的语义分割架构结构综述以及代码复现

Tensorflow 2 implementation of complete pipeline for multiclass image semantic segmentation using UNet, SegNet and FCN32 architectures on Cambridge-driving Labeled Video Database (CamVid) dataset.

A light-weight, power efficient, and general purpose convolutional neural network

This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.

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.)

Deep learning applied to georeferenced datasets

Model for document segmentation trained on the midv-500-models dataset.

Helper package with multiple U-Net implementations in Keras as well as useful utility tools helpful when working with image semantic segmentation tasks. This library and underlying tools come from multiple projects I performed working on semantic segmentation tasks

Semantic Segmentation of Underwater Imagery: Dataset and Benchmark. #IROS2020

Deep Learning for Computer Vision (CommE 5052) in NTU

FCN for Semantic Image Segmentation achieving 68.5 mIoU on PASCAL VOC

RefineNet: Multi-Path Refinement Networks for High-Resolution Semantic Segmentation

CRF-RNN Keras/Tensorflow version

Training & Quantization of embedded friendly Deep Learning / Machine Learning / Computer Vision models

GUI based Smart Sudoku Solver that tries to extract a sudoku puzzle from a photo and solve it

Collaborate & label any type of data, images, text, or documents, in an easy web interface or desktop app.

Simple PyTorch implementations of U-Net/FullyConvNet (FCN) for image segmentation

PyTorch Implementation of Fully Convolutional Networks (a very simple and easy demo).

ResUNet++, CRF, and TTA for segmentation of medical images (IEEE JBIHI)

Visit PixelLib's official documentation https://pixellib.readthedocs.io/en/latest/

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

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

Tools to Design or Visualize Architecture of Neural Network

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

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

Keras BiseNet architecture implementation

A paper list of RGBD semantic segmentation (processing)

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

[NeurIPS2021] Code Release of K-Net: Towards Unified Image Segmentation

Winning solution for the Kaggle TGS Salt Identification Challenge.

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+

This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"

Implementation of Dynamic Routing Between Capsules, Sara Sabour, Nicholas Frosst, Geoffrey E Hinton, NIPS 2017

Keras implementation of the paper "3D MRI brain tumor segmentation using autoencoder regularization" by Myronenko A. (https://arxiv.org/abs/1810.11654).

Symbolic Music Genre Transfer with CycleGAN

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

Sign Language Gesture Recognition From Video Sequences Using RNN And CNN

Face identification with CNN + TPE using Keras

Çeşitli kütüphaneler kullanılarak Türkçe kod açıklamalarıyla TEMEL SEVİYEDE pratik derin öğrenme uygulamaları.

ML data annotations made super easy for teams. Just upload data, add your team and build training/evaluation dataset in hours.

DeepSleepNet: a Model for Automatic Sleep Stage Scoring based on Raw Single-Channel EEG

3D image classification using CNN (Convolutional Neural Network)

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

Deep learning for audio denoising

A super lightweight image processing algorithm for detection and extraction of overlapped handwritten signatures on scanned documents using OpenCV and scikit-image.

A simple Spatial Pyramid Pooling layer which could be added in CNN

Code for our ACMMM2020 paper "Context-aware Feature Generation for Zero-shot Semantic Segmentation".

DeepTAM: Deep Tracking and Mapping https://lmb.informatik.uni-freiburg.de/people/zhouh/deeptam/

Text Classification by Convolutional Neural Network in Keras