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act

Official code for "Action Transformer: A Self-attention Model for Short-time Pose-based Human Action Recognition", Pattern Recognition (2022).

action-recognition-using-3d-resnet

Use 3D ResNet to extract features of UCF101 and HMDB51 and then classify them.

action_recognition

Solving UCF-101 with fastai2

action_recognition_zoo

Codes for popular action recognition models, verified on the something-something data set.

adamatch

c1-action-recognition-tsn-trn-tsm

EPIC-Kitchens-100 Action Recognition baselines: TSN, TRN, TSM

c3d

C3D is a modified version of BVLC caffe to support 3D ConvNets.

cnn-lstm-for-activity-recognition

cscal

Class structural context adversarial loss for cross-domain human action recognition

denseflow_gpu

using GPU to extract videos' dense optical flow fields

epic-kitchens-download-scripts

Download scripts for EPIC-KITCHENS

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

fusionmodel

hartransferlearning

Transfer Learning from one dataset to another different dataset using Maximum Mean Discrepancy (MMD)

kinetics-downloader

Download DeepMind's Kinetics dataset.

kinetics-i3d

Convolutional neural network model for video classification trained on the Kinetics dataset.

maximum-mean-discrepancy-variational-autoencoder

A PyTorch implementation of the MMD-VAE, an Information-Maximizing Variational Autoencoder (InfoVAE) based off of the TensorFlow implementation published by the author of the original InfoVAE paper.

mcd_da

mm-sada-code

Repository to contain the code for the CVPR 2020 publication: Multi-Modal Domain Adaptation for Fine-Grained Action Recognition

mm2020_abg

mmd-variational-autoencoder

models

Models and examples built with TensorFlow

preprocess-i3d-deepmind

Preprocess data for deepmind's kinetics i3d network

pytorch-ada

Another Domain Adaptation library, aimed at researchers.

pytorch-domain-adaptation

A collection of implementations of adversarial domain adaptation algorithms

pytorch-video-recognition

PyTorch implemented C3D, R3D, R2Plus1D models for video activity recognition.

pytorchvideo

A deep learning library for video understanding research.

r3d

R3D-model

real-time-violence-detection-in-video-

slowfast

PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.