trungmaster5 Goto Github PK

3d-vision-and-touch

When told to understand the shape of a new object, the most instinctual approach is to pick it up and inspect it with your hand and eyes in tandem. Here, touch provides high fidelity localized information while vision provides complementary global context. However, in 3D shape reconstruction, the complementary fusion of visual and haptic modalities remains largely unexplored. In this paper, we study this problem and present an effective chart-based approach to fusing vision and touch, which leverages advances in graph convolutional networks. To do so, we introduce a dataset of simulated touch and vision signals from the interaction between a robotic hand and a large array of 3D objects. Our results show that (1) leveraging both vision and touch signals consistently improves single-modality baselines, especially when the object is occluded by the hand touching it; (2) our approach outperforms alternative modality fusion methods and strongly benefits from the proposed chart-based structure; (3) reconstruction quality boosts with the number of grasps provided; and (4) the touch information not only enhances the reconstruction at the touch site but also extrapolates to its local neighborhood.

abis-web

ABiS脳画像解析チュートリアル用のウェブサイトです

actionssdk-smart-home-nodejs

A sample of the Smart Home device control APIs in Actions on Google

alpr_jp

Japanese vehicle license plate materials for Automatic License Plate Recognition

anonystick

appengine-tensorflow-python3

Hello World app using python3 and tensorflow for google app engine

auto-sklearn

Automated Machine Learning with scikit-learn

autoencoders-variants

Pytorch implementations of various types of autoencoders

barcodeparser

The barcode parser is a library for handling the contents of GS1 barcodes.

berrynet

Deep learning gateway on Raspberry Pi

bids_fmri_analysis_nipype

Analysis pipeline for fMRI (and structural) images in BIDs format

bnpy

Bayesian nonparametric machine learning for Python

botexperiments

Experiments with bot

botserviceexperiment

Azure BotFrameWork Service

course-content

Summer course content for Neuromatch Academy

dash

Analytical Web Apps for Python & R. No JavaScript Required.

deepsparse

Inference runtime offering GPU-class performance on CPUs and APIs to integrate ML into your application

demo-rtd-tut

Just a template

demo_convolutional_ae

Demo Convolutional AutoEncoder - Pytorch

django-todo-react

This is a demo repository for a Todo application built off Django (and the Django REST Framework for API CRUD operations) and React.

echarts-examples

Examples of ECharts

eeg-datasets

A list of all public EEG-datasets

enms

An enterprise-grade vendor-agnostic network automation platform.

etherpad-lite

Etherpad: A modern really-real-time collaborative document editor.

fastbook

Draft of the fastai book

find3

High-precision indoor positioning framework, version 3.

flask-tensorflow-angularjs

An example Neural Network Classifier developed with TensorFlow, Flask (Python framework for server side) and AngularJs (Client side).

freeboard

A damn-sexy, open source real-time dashboard builder for IOT and other web mashups. A free open-source alternative to Geckoboard.

genericobjectdecoding

Demo code for Horikawa and Kamitani, "Generic decoding of seen and imagined objects using hierarchical visual features", https://www.nature.com/articles/ncomms15037.

head_massage_angular