120 Open source projects that are alternatives of or similar to Untrimmednet

Code & Models for Temporal Segment Networks (TSN) in ECCV 2016

Code for AdaScan: Adaptive Scan Pooling (CVPR 2017)

Action recognition.基于C3D的视频动作识别

Two Stream CNN implemented in Keras using in skeleton-based action recognition with dataset NTU RGB+D

Skeleton-based Action Recognition Papers and Small Notes and Top 2 Leaderboard for NTU-RGBD

Count pushups from video/webcam. Tech stack: Keypoint detection, BlazePose, action recognition.

OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark

[CVPR2021] UAV-Human: A Large Benchmark for Human Behavior Understanding with Unmanned Aerial Vehicles

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

This repository contains the code implementation used in the paper Temporally Coherent Embeddings for Self-Supervised Video Representation Learning (TCE).

Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101

A public Python implementation for generating Dynamic Images introduced in 'Dynamic Image Networks for Action Recognition' by Bilen et al.

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

What and How Well You Performed? A Multitask Learning Approach to Action Quality Assessment [CVPR 2019]

PyTorch implementation of two-stream networks for video action recognition

GUI based on the python api of openpose in windows using cuda10 and cudnn7. Support body , hand, face keypoints estimation and data saving. Realtime gesture recognition is realized through two-layer neural network based on the skeleton collected from the gui.

HAKE-Action in PyTorch

[WACV'22] Code repository for the paper "Self-supervised Video Representation Learning with Cross-Stream Prototypical Contrasting", https://arxiv.org/abs/2106.10137.

A collection of recent video understanding datasets, under construction!

Offical implementation of paper "MSAF: Multimodal Split Attention Fusion"

keras implementation of inflated 3d from Quo Vardis paper + weights

PyTorch implementation of a collections of scalable Video Transformer Benchmarks.

Action recognition using soft attention based deep recurrent neural networks

Action recognition with C3D network implemented in tensorflow

[CVPR 2021] TDN: Temporal Difference Networks for Efficient Action Recognition

No description or website provided.

This repository host the code for real-time action detection paper

Keras implementation for Co-occurrence-Feature-Learning-from-Skeleton-Data-for-Action-Recognition

A list of the Human-Object Interaction Learning studies.

Video Representation Learning by Recognizing Temporal Transformations. In ECCV, 2020.

[ICCV 2021 Oral] Deep Evidential Action Recognition

[ICCV 2019 Oral] TA3N: https://github.com/cmhungsteve/TA3N (Most updated repo)

EPIC-KITCHENS-55 baselines for Action Recognition

A Python module to decode video frames directly, using the FFmpeg C API.

Using deep learning to perform action recognition in the sport of tennis.

[CVPR 2020 Oral] PyTorch implementation of "Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition"

Tools for movie and video research

[BMVC 2018] iCAN: Instance-Centric Attention Network for Human-Object Interaction Detection

Identifying Visible Actions in Lifestyle Vlogs

[ICCV 2019 (Oral)] Temporal Attentive Alignment for Large-Scale Video Domain Adaptation (PyTorch)

Training Toolbox for Caffe

PyTorch 3D video classification models pre-trained on 65 million Instagram videos

ICCV 19 Grouped Spatial-Temporal Aggretation for Efficient Action Recognition

A OpenMMLAB toolbox for human pose estimation, skeleton-based action recognition, and action synthesis.

An open-source toolbox for action understanding based on PyTorch

Data preparation and loader for AMASS

NTU-X, which is an extended version of popular NTU dataset

Video Platform for Action Recognition and Object Detection in Pytorch

Detects Chinese traffic police commanding poses 检测中国交警指挥手势

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

Learning Video Representations from Correspondence Proposals (CVPR 2019 Oral)

Dynamic Image Networks for Action Recognition

3D ResNets for Action Recognition

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

Paper list of activity prediction and related area

Explore Action Recognition

TensorFlow code for finetuning I3D model on UCF101.

Generic PyTorch Dataset Implementation for Loading, Preprocessing and Augmenting Video Datasets

Video classification tools using 3D ResNet

code for CVPR-2019 paper: Self-supervised Spatio-temporal Representation Learning for Videos by Predicting Motion and Appearance Statistics