# Learning Grammar of Complex Activities via Deep Neural Networks

arXiv: https://arxiv.org/abs/2101.02774 · HTML: https://mlsanity.com/paper/2101.02774/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 1 of its 3 references that are in the map.
- First posted on arXiv 7 Jan 2021.

## Builds on (most cited first, 1 of 1)

- [NeuralNetwork-Viterbi: A Framework for Weakly Supervised Video Learning](https://mlsanity.com/paper/1805.06875/) (2018)

## Abstract (arXiv)

Motivated by the growing amount of publicly available video data on online streaming services and an increased interest in applications that analyze continuous video streams such as autonomous driving, this technical report provides a theoretical insight into deep neural networks for video learning, under label constraints. I build upon previous work in video learning for computer vision, make observations on model performance and propose further mechanisms to help improve our observations.