Stars
An open-source toolbox for action understanding based on PyTorch
Resources about activity recognition-行为识别资料
Source code for training Gated Multimodal Units on MM-IMDb dataset
[CVPR 2021] TDN: Temporal Difference Networks for Efficient Action Recognition
Datasets, Transforms and Models specific to Computer Vision
3D ResNets for Action Recognition (CVPR 2018)
OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark
This is an official implementation for "Video Swin Transformers".
PyTorch implemented C3D, R3D, R2Plus1D models for video activity recognition.
PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.
RepMLPNet: Hierarchical Vision MLP with Re-parameterized Locality (CVPR 2022)
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
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
Automatic extraction of relevant features from time series:
HOG feature extractor with simple python implementation
Awesome Multitask Learning Resources
Damage Identification in Social Media Posts using Multimodal Deep Learning: code and dataset
Code repository for Rakuten Data Challenge: Multimodal Product Classification and Retrieval.
Dual Attention Network for Scene Segmentation (CVPR2019)
Time series distances: Dynamic Time Warping (fast DTW implementation in C)
OpenPose: Real-time multi-person keypoint detection library for body, face, hands, and foot estimation