Handwritten Text Recognition Lives in the High-Pixel Variance Subspace

arXiv:2609.35473 · cs.CV, cs.LG · Submitted 2026-09-28 · Read on arXiv

cs.CV, cs.LG

Submitted: 2026-09-28

Updated: 2026-09-28

Terminology

• Benchmark — 33× in this paper · explained in 2 episodes
• Handwritten Text Recognition — 20× in this paper
• Transformer — 19× in this paper · explained in 2 episodes
• Fine-Tuning — 17× in this paper · explained in 5 episodes
• Alignment — 13× in this paper · explained in 1 episode
• Contrastive Learning — 7× in this paper · explained in 5 episodes
• Adaptation — 6× in this paper · explained in 1 episode
• Latent Space — 6× in this paper · explained in 7 episodes
• Conference on Computer Vision and Pattern Recognition — 5× in this paper
• Masked Image Modeling — 5× in this paper
• Self-Supervised Learning — 4× in this paper · explained in 8 episodes
• CVF International Conference on Computer Vision — 3× in this paper
• Character Error Rate — 3× in this paper
• Embeddings — 3× in this paper · explained in 2 episodes
• Representation Learning — 3× in this paper · explained in 2 episodes
• Connectionist Temporal Classification — 2× in this paper
• Generative Modeling — 2× in this paper · explained in 3 episodes
• Linear probe — 2× in this paper · explained in 2 episodes
• Abstraction — 1× in this paper · explained in 1 episode
• Adam — 1× in this paper · explained in 2 episodes
• Aggregation — 1× in this paper · explained in 1 episode
• Decoupling — 1× in this paper · explained in 2 episodes
• Generalization — 1× in this paper · explained in 13 episodes
• In International Conference on Machine Learning — 1× in this paper
• Instruction Tuning — 1× in this paper · explained in 2 episodes
• International Conference on Learning Representations — 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 Understanding — 1× in this paper · explained in 2 episodes
• Verification — 1× in this paper · explained in 2 episodes

Sources

• V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning
• A Cookbook of Self-Supervised Learning
• An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
• A standardized Project Gutenberg corpus for statistical analysis of natural language and quantitative linguistics
• AttentionHTR: Handwritten Text Recognition Based on Attention Encoder-Decoder Networks
• MaskOCR: Text Recognition with Masked Encoder-Decoder Pretraining

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