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Video-STLayout Pre-training

2026-09-21 02:56:30
Akash Abdu Jyothi, Greg Mori
arXiv_CV
           
Abstract

In recent years, pre-training has become fundamental to learning effective video representations, enabling strong transfer to downstream tasks. A popular framework in pre-training involves aligning features of a video encoder with that of another modality, for example, language or audio. We introduce Video-STLayout pre-training, a novel strategy for obtaining rich video representations informed by spatio-temporal layout of object bounding boxes. Object layouts can easily be obtained by applying an off-the-shelf object detector on the video frames. Our method uses a contrastive loss to align video features with the layout features from a trained layout encoder. We show the effectiveness of our approach in the task of activity recognition in complex scenes.

Abstract (translated)

URL

https://arxiv.org/abs/2609.24031

PDF

https://arxiv.org/pdf/2609.24031.pdf

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