Author

Li-Min Wang

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Preprint Sep 2026

CoViT: Instance-Correspondence Contrastive Learning for Vision Transformer

CoViT consistently achieves stable performance gains of over 2 AP points across multiple instance-level perception tasks by using ViT as backbone architecture, demonstrating that a pure ViT can learn instance-aware representations via inherent attention priors and targeted contrastive constraints.

Yisen Wang, Zhirong Wu, Li-Min Wang · 0 citations