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Chang-Hwan Oh

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Jul 2026

DINOde: Continuous Vision-Text Alignment for Open-Vocabulary Semantic Segmentation

DINOde is proposed, an ODE-based framework that continuously aligns CLIP text embeddings with the DINO visual manifold through a continuous ODE trajectory, and achieves state-of-the-art performance across multiple OVSS benchmarks.

Sung-Hoon Yoon, Hoyong Kwon, Chang-Hwan Oh et al. · 0 citations

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