Methods › General › Self-Supervised Learning › ParamCrop
ParamCrop
Introduced by Zhiwu Qing et al. in ParamCrop: Parametric Cubic Cropping for Video Contrastive Learning
archive 2025-07-28 Description, source and code snippet are the archive's method entry.
ParamCrop is a parametric cubic cropping for video contrastive learning, where cubic cropping refers to cropping a 3D cube from the input video. The central component of ParamCrop is a differentiable spatio-temporal cropping operation, which enables ParamCrop to be trained simultaneously with the video backbone and adjust the cropping strategy on the fly. The objective of ParamCrop is set to be adversarial to the video backbone, which is to increase the contrastive loss. Hence, initialized with the simplest setting where two cropped views largely overlaps, ParamCrop gradually increases the disparity between two views.
Papers archive 2025-07-28
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ParamCrop: Parametric Cubic Cropping for Video Contrastive Learning 24 Aug 2021 · 1 repository · arXiv:2108.10501
Tasks archive 2025-07-28
1 task the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.
| Task | Papers |
|---|---|
| Contrastive Learning | 1 |
Usage over time archive 2025-07-28
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Categories archive 2025-07-28
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