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Video-STLayout Pre-training
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 vi
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-21T02:56:30.000Z
First collected: 2026-09-23T09:51:33.063Z. This is not the publication date.