Two Global Crops Suffice: Locating Semantic Emergence in DINO-Style Self-Supervised Learning

arXiv:2609.28187 · cs.CV · Submitted 2026-09-23 · Read on arXiv

cs.CV

Submitted: 2026-09-23

Updated: 2026-09-23

Terminology

• Alignment — 19× in this paper · explained in 1 episode
• Accuracy — 17× in this paper · explained in 1 episode
• Ablation — 13× in this paper · explained in 1 episode
• Distillation — 10× in this paper · explained in 2 episodes
• Self-Distillation — 9× in this paper · explained in 7 episodes
• Self-Supervised Learning — 9× in this paper · explained in 8 episodes
• Transformer — 8× in this paper · explained in 2 episodes
• Linear probe — 6× in this paper · explained in 2 episodes
• Consistency — 4× in this paper · explained in 3 episodes
• Downstream Tasks — 4× in this paper · explained in 2 episodes
• In European Conference on Computer Vision — 4× in this paper
• In International Conference on Learning Representations — 4× in this paper
• Regularization — 4× in this paper · explained in 3 episodes
• Representation Learning — 4× in this paper · explained in 2 episodes
• Benchmark — 3× in this paper · explained in 2 episodes
• Cosine Similarity — 3× in this paper · explained in 3 episodes
• Foundation Model — 3× in this paper · explained in 3 episodes
• Foundation Models — 3× in this paper · explained in 7 episodes
• Adam — 2× in this paper · explained in 2 episodes
• Conference on Computer Vision and Pattern Recognition — 2× in this paper
• Fine-Tuning — 2× in this paper · explained in 5 episodes
• Redundancy — 2× in this paper · explained in 2 episodes
• Contrastive Learning — 1× in this paper · explained in 5 episodes
• Data Augmentation — 1× in this paper · explained in 7 episodes
• Embeddings — 1× in this paper · explained in 2 episodes
• In International Conference on Machine Learning — 1× in this paper
• International Journal of Computer Vision — 1× in this paper
• Linear Probing — 1× in this paper · explained in 2 episodes
• Loss Function — 1× in this paper · explained in 2 episodes
• Semantic Similarity — 1× in this paper · explained in 2 episodes
• Semantic Understanding — 1× in this paper · explained in 2 episodes
• Trace — 1× in this paper · explained in 2 episodes

Sources

• LeJEPA: Provable and Scalable Self-Supervised Learning Without the Heuristics
• SPair-71k: A Large-scale Benchmark for Semantic Correspondence
• DINOv3
• Simplifying DINO via Coding Rate Regularization

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