34 Open source projects that are alternatives of or similar to T3d

A one stop shop for all of your activity recognition needs.

HAKE-Action in PyTorch

As a part of the HAKE project, includes the reproduced SOTA models and the corresponding HAKE-enhanced versions (CVPR2020).

React Native wrapper for the Activity Recognition API.

The Wearables Development Toolkit - a development environment for activity recognition applications with sensor signals

Enhance your application with the ability to see and interact with humans using any RGB camera.

Temporal Segments LSTM and Temporal-Inception for Activity Recognition

A curated list of action recognition and related area resources

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

Personalized machine learning on the smartphone

Skeleton-based method for activity recognition problem

Deep Convolutional Bidirectional LSTM for Complex Activity Recognition with Missing Data. Human Activity Recognition Challenge. Springer SIST (2020)

PyTorch implementation of AAAI 2021 paper: A Hybrid Attention Mechanism for Weakly-Supervised Temporal Action Localization

DANA: Dimension-Adaptive Neural Architecture (UbiComp'21)( ACM IMWUT)

A curated list of egocentric (first-person) vision and related area resources

Code for : [Pattern Recognit. Lett. 2021] "Learn to cycle: Time-consistent feature discovery for action recognition" and [IJCNN 2021] "Multi-Temporal Convolutions for Human Action Recognition in Videos".

An up-to-date & curated list of Awesome IMU-based Human Activity Recognition(Ubiquitous Computing) papers, methods & resources. Please note that most of the collections of researches are mainly based on IMU data.

Pytorch implementation of the paper "Glimpse Clouds: Human Activity Recognition from Unstructured Feature Points", F. Baradel, C. Wolf, J. Mille , G.W. Taylor, CVPR 2018

Realtime implemnetation of spatial-temporal local features

A PyTorch implementation of R2Plus1D and C3D based on CVPR 2017 paper "A Closer Look at Spatiotemporal Convolutions for Action Recognition" and CVPR 2014 paper "Learning Spatiotemporal Features with 3D Convolutional Networks"

Deep Learning-Based Gait Recognition Using Smartphones in the Wild

STEP: Spatio-Temporal Progressive Learning for Video Action Detection. CVPR'19 (Oral)

Activity Recognition Algorithms for the Charades Dataset

Video-friendly caffe -- comes with the most recent version of Caffe (as of Jan 2019), a video reader, 3D(ND) pooling layer, and an example training script for C3D network and UCF-101 data

C3D for Keras + TensorFlow

Activity Recognition from 2D pose using an LSTM RNN

A tutorial for using deep learning for activity recognition (Pytorch and Tensorflow)

MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and gyroscope)

Human Fall Detection from CCTV camera feed

Timeception for Complex Action Recognition, CVPR 2019 (Oral Presentation)

Paper list of activity prediction and related area

HAKE: Human Activity Knowledge Engine (CVPR'18/19/20, NeurIPS'20)

一些关于机器学习的学习资料与研究介绍

Problem Set solutions for the "Introduction to Computer Vision (ud810)" MOOC from Udacity