547 Open source projects that are alternatives of or similar to atomai

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+

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

RefineNet-101 VOC in PyTorch

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

An opensource lib. for vehicle vision applications (written by MATLAB), lane marking detection, road segmentation

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).

Semantic Segmentation using Fully Convolutional Neural Network.

FPConv: Learning Local Flattening for Point Convolution, CVPR 2020

Code for my master's thesis. Instance segmentation of fluorescence microscopy images with deep learning.

[NeurIPS 2020] Code release for paper "Deep Multimodal Fusion by Channel Exchanging" (In PyTorch)

[ICCVW'21] All you need are a few pixels: semantic segmentation with PixelPick

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

Code for the Paper: "Conditional Variational Capsule Network for Open Set Recognition", Y. Guo, G. Camporese, W. Yang, A. Sperduti, L. Ballan, arXiv:2104.09159, 2021.

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

Rank 1st in the leaderboard of SemanticKITTI semantic segmentation (both single-scan and multi-scan) (Nov. 2020) (CVPR2021 Oral)

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

Mask R-CNN, FPN, LinkNet, PSPNet and UNet with multiple backbone architectures support readily available

PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)

Fully supervised binary classification of skin lesions from dermatoscopic images using an ensemble of diverse CNN architectures (EfficientNet-B6, Inception-V3, SEResNeXt-101, SENet-154, DenseNet-169) with multi-scale input.

Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers

[MICCAI2022] This is an official PyTorch implementation for A Robust Volumetric Transformer for Accurate 3D Tumor Segmentation

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

PyTorch*-based Neural Network Compression Framework for enhanced OpenVINO™ inference

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

📚 A collection of papers about Referring Image Segmentation.

atomate2 is a library of computational materials science workflows

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

Actionness Estimation Using Hybrid Fully Convolutional Networks

End-to-end image segmentation kit based on PaddlePaddle.

Easily write cover letters for submitting your academic manuscripts

A collection of tools for painting super-resolution images

An open source framework for deep learning on satellite and aerial imagery.

Roadmap to becoming an iOS developer in 2018.

U-NET Semantic Segmentation model for Mobile

Using a U-Net for image segmentation, blending predicted patches smoothly is a must to please the human eye.

Applying UNET Model on TGS Salt Identification Challenge hosted on Kaggle

Toolbox for particulate microstructure modelling

A PyTorch-based library for working with 3D and 2D convolutional neural networks, with focus on semantic segmentation of volumetric biomedical image data

Markov random fields with covariates

DeepLab-ResNet rebuilt in TensorFlow

A package that makes it trivial to create and evaluate machine learning pipeline architectures.

segmentation repo using pytorch

Multiple file format reading directly into napari using pure Python

The deep semantic segmentation network for lane segmentation.

Scikit-learn compatible estimation of general graphical models

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.

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

Segmentation of ID Cards using Semantic Segmentation

The 2nd place Solution to the Youtube-8M Video Understanding Challenge by Team Monkeytyping (based on tensorflow)

Pytorch implementation of GCN architecture for semantic segmentation

Photographic Image Synthesis with Cascaded Refinement Networks - Pytorch Implementation

Segmentation of prostate from MRI scans

Google Colab tutorial with simple network training and Tensorboard.

DeepLab-LargeFOV implemented in tensorflow

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

NequIP is a code for building E(3)-equivariant interatomic potentials

PyTorch implementation of DeepLabv3

Chainer Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)

A unified ensemble framework for Pytorch to improve the performance and robustness of your deep learning model

subsemble R package for ensemble learning on subsets of data