# Discerning Generic Event Boundaries in Long-Form Wild Videos

arXiv: https://arxiv.org/abs/2106.10090 · HTML: https://mlsanity.com/paper/2106.10090/

## Key facts

- Cited by 6 papers in the map (data through 14 Oct 2026).
- Builds on 10 of its 20 references that are in the map.
- First posted on arXiv 18 Jun 2021.

## Builds on (most cited first, 10 of 10)

- [Adam: A Method for Stochastic Optimization](https://mlsanity.com/paper/1412.6980/) (2014)
- [Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset](https://mlsanity.com/paper/1705.07750/) (2017)
- [The THUMOS Challenge on Action Recognition for Videos "in the Wild"](https://mlsanity.com/paper/1604.06182/) (2016)
- [Rethinking the Faster R-CNN Architecture for Temporal Action Localization](https://mlsanity.com/paper/1804.07667/) (2018)
- [When will you do what? - Anticipating Temporal Occurrences of Activities](https://mlsanity.com/paper/1804.00892/) (2018)
- [Segmental Spatiotemporal CNNs for Fine-grained Action Segmentation](https://mlsanity.com/paper/1602.02995/) (2016)
- [Generic Event Boundary Detection: A Benchmark for Event Segmentation](https://mlsanity.com/paper/2101.10511/) (2021)
- [Intra- and Inter-Action Understanding via Temporal Action Parsing](https://mlsanity.com/paper/2005.10229/) (2020)
- [Cascaded Boundary Regression for Temporal Action Detection](https://mlsanity.com/paper/1705.01180/) (2017)
- [TransNet: A deep network for fast detection of common shot transitions](https://mlsanity.com/paper/1906.03363/) (2019)

## Built on by (most cited first, 6 of 6)

- [End-to-End Compressed Video Representation Learning for Generic Event Boundary Detection](https://mlsanity.com/paper/2203.15336/) (2022)
- [Structured Context Transformer for Generic Event Boundary Detection](https://mlsanity.com/paper/2206.02985/) (2022)
- [Motion Aware Self-Supervision for Generic Event Boundary Detection](https://mlsanity.com/paper/2210.05574/) (2022)
- [AutoMatch: A Large-scale Audio Beat Matching Benchmark for Boosting Deep Learning Assistant Video Editing](https://mlsanity.com/paper/2303.01884/) (2023)
- [Local Compressed Video Stream Learning for Generic Event Boundary Detection](https://mlsanity.com/paper/2309.15431/) (2023)
- [Structured Context Learning for Generic Event Boundary Detection](https://mlsanity.com/paper/2512.00475/) (2025)

## Abstract (arXiv)

Detecting generic, taxonomy-free event boundaries invideos represents a major stride forward towards holisticvideo understanding. In this paper we present a technique forgeneric event boundary detection based on a two stream in-flated 3D convolutions architecture, which can learn spatio-temporal features from videos. Our work is inspired from theGeneric Event Boundary Detection Challenge (part of CVPR2021 Long Form Video Understanding- LOVEU Workshop).Throughout the paper we provide an in-depth analysis ofthe experiments performed along with an interpretation ofthe results obtained.