461 Open source projects that are alternatives of or similar to Motsfusion

A lean C++ library for working with point cloud data

MaskFusion: Real-Time Recognition, Tracking and Reconstruction of Multiple Moving Objects

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Co-Fusion: Real-time Segmentation, Tracking and Fusion of Multiple Objects

All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN

C++ implementation pool for computer vision R&D projects.

Project for segmentation of blood vessels, microaneurysm and hardexudates in fundus images.

Pointwise Rotation-Invariant Network (AAAI 2020)

🎨 🎨 深度学习 卷积神经网络教程 ：图像识别，目标检测，语义分割，实例分割，人脸识别，神经风格转换，GAN等🎨🎨 https://dataxujing.github.io/CNN-paper2/

The code includes all the file that you need in the training stage for FCN

Tensorflow Implementation of Pixel Transposed Convolutional Networks (PixelTCN and PixelTCL)

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.

Tensorflow implementation of the V-Net architecture for medical imaging segmentation.

📚 The list of vision-based SLAM / Visual Odometry open source, blogs, and papers

Source code for an ACL2016 paper of Chinese word segmentation

Test Time Augmentation (TTA) wrapper for computer vision tasks: segmentation, classification, super-resolution, ... etc.

3D point cloud datasets in HDF5 format, containing uniformly sampled 2048 points per shape.

(NeurIPS2019) Category Anchor-Guided Unsupervised Domain Adaptation for Semantic Segmentation

PyTorch Implementation of QuickNAT and Bayesian QuickNAT, a fast brain MRI segmentation framework with segmentation Quality control using structure-wise uncertainty

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KiTS19——2019 Kidney Tumor Segmentation Challenge

An Implementation of Fully Convolutional Networks in Tensorflow.

3D Unet Equipped with Advanced Deep Learning Methods

CRF-RNN PyTorch version http://crfasrnn.torr.vision

DeepSeg : 4th place(top3%) solution for Retinal Edema Segmentation Challenge in 2018 AI challenger

A framework for training segmentation models in pytorch on labelme annotations with pretrained examples of skin, cat, and pizza topping segmentation

Caffe models (including classification, detection and segmentation) and deploy files for famouse networks

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《深度学习与计算机视觉》配套代码

Keras implementation for Pointnet

Blender importer of meshroom datafiles: cameras, images, sparse pointcloud and obj's.

Fully automatic brain tumour segmentation using Deep 3-D convolutional neural networks

Hand detection software built with OpenCV.

No description or website provided.

Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation (http://fcn.berkeleyvision.org)

PFENet: Prior Guided Feature Enrichment Network for Few-shot Segmentation (TPAMI).

Unsupervised instance segmentation via active robot interaction

UAV-Mapper is a lightweight UAV Image Processing System, Visual SFM reconstruction or Aerial Triangulation, Fast Ortho-Mosaic, Plannar Mosaic, Fast Digital Surface Map (DSM) and 3d reconstruction for UAVs.

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

A place for the development version of the changepoint package on CRAN.

CNNs for semantic segmentation using Keras library

Dstl Satellite Imagery Feature Detection

Pytorch framework for doing deep learning on point clouds.

PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)

Pytorch implementation of 'Graph Attention Convolution for Point Cloud Segmentation'

The U-Net Segmentation plugin for Fiji (ImageJ)

Real-time dense visual SLAM system

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Official Code: 3D Scene Reconstruction from a Single Viewport

CCNet: Criss-Cross Attention for Semantic Segmentation (TPAMI 2020 & ICCV 2019).

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

Repository of my fashion-parsing project. This project is put on hold since I am doing another project now, but will debug if bugs are reported.

Tensorflow implementation : U-net and FCN with global convolution

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Generalized Data-free Universal Adversarial Perturbations

A generative network for animal vocalizations. For dimensionality reduction, sequencing, clustering, corpus-building, and generating novel 'stimulus spaces'. All with notebook examples using freely available datasets.

Patch-based 3D U-Net for brain tumor segmentation