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B. B. Englert

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Preprint Aug 2026

A Controlled Study of Self-Supervised Image and Video Pretraining under Limited Resources

Combining DINOv2 with video SSL objectives such as VideoMAE substantially improves image classification and segmentation performance, but degrades video tracking and camera-pose estimation performance, revealing an important tradeoff between semantic and geometric representation learning.

B. B. Englert, G. Dubbelman · 0 citations

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