# Semantic Video Segmentation: A Review on Recent Approaches

arXiv: https://arxiv.org/abs/1806.06172 · HTML: https://mlsanity.com/paper/1806.06172/

## Key facts

- Cited by 2 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 16 Jun 2018.

## Built on by (most cited first, 2 of 2)

- [Semantic Segmentation on Multiple Visual Domains](https://mlsanity.com/paper/2107.04326/) (2021)
- [Chunking Strategies for Multimodal AI Systems](https://mlsanity.com/paper/2512.00185/) (2025)

## Abstract (arXiv)

This paper gives an overview on semantic segmentation consists of an explanation of this field, it's status and relation with other vision fundamental tasks, different datasets and common evaluation parameters that have been used by researchers. This survey also includes an overall review on a variety of recent approaches (RDF, MRF, CRF, etc.) and their advantages and challenges and shows the superiority of CNN-based semantic segmentation systems on CamVid and NYUDv2 datasets. In addition, some areas that is ideal for future work have mentioned.