# TransNet: A deep network for fast detection of common shot transitions

arXiv: https://arxiv.org/abs/1906.03363 · HTML: https://mlsanity.com/paper/1906.03363/

## Key facts

- Cited by 15 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 8 Jun 2019.

## Built on by (most cited first, 15 of 15)

- [Generic Event Boundary Detection: A Benchmark for Event Segmentation](https://mlsanity.com/paper/2101.10511/) (2021)
- [Learning from Untrimmed Videos: Self-Supervised Video Representation Learning with Hierarchical Consistency](https://mlsanity.com/paper/2204.03017/) (2022)
- [Rethinking the Architecture Design for Efficient Generic Event Boundary Detection](https://mlsanity.com/paper/2407.12622/) (2024)
- [Discerning Generic Event Boundaries in Long-Form Wild Videos](https://mlsanity.com/paper/2106.10090/) (2021)
- [OmniShotCut: Holistic Relational Shot Boundary Detection with Shot-Query Transformer](https://mlsanity.com/paper/2604.24762/) (2026)
- [Fine-grained Dynamic Network for Generic Event Boundary Detection](https://mlsanity.com/paper/2407.04274/) (2024)
- [Overview of Tencent Multi-modal Ads Video Understanding Challenge](https://mlsanity.com/paper/2109.07951/) (2021)
- [DeVAn: Dense Video Annotation for Video-Language Models](https://mlsanity.com/paper/2310.05060/) (2023)
- [Horizontal-to-Vertical Video Conversion](https://mlsanity.com/paper/2101.04051/) (2021)
- [Video-to-Music Recommendation using Temporal Alignment of Segments](https://mlsanity.com/paper/2306.07187/) (2023)
- [TransVLM: A Vision-Language Framework and Benchmark for Detecting Any Shot Transitions](https://mlsanity.com/paper/2604.27975/) (2026)
- [SliTraNet: Automatic Detection of Slide Transitions in Lecture Videos using Convolutional Neural Networks](https://mlsanity.com/paper/2202.03540/) (2022)
- [Movie Genre Classification by Language Augmentation and Shot Sampling](https://mlsanity.com/paper/2203.13281/) (2022)
- [MarineEVT: Advancing Event-Centric Marine Video Understanding via Visual Tool Reasoning](https://mlsanity.com/paper/2607.24064/) (2026)
- [PERSIST: Persistent-State Discrimination for Shot Boundary Detection](https://mlsanity.com/paper/2608.29287/) (2026)

## Abstract (arXiv)

Shot boundary detection (SBD) is an important first step in many video processing applications. This paper presents a simple modular convolutional neural network architecture that achieves state-of-the-art results on the RAI dataset with well above real-time inference speed even on a single mediocre GPU. The network employs dilated convolutions and operates just on small resized frames. The training process employed randomly generated transitions using selected shots from the TRECVID IACC.3 dataset. The code and a selected trained network will be available at https://github.com/soCzech/TransNet.