Contrastive-to-Self-Supervised: A Two-Stage Framework for Script Similarity Learning | ScienceToStartup | ScienceToStartup

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References (23)

[1]

Analysis of Glyph and Writing System Similarities Using Siamese Neural Networks

2024Claire Roman, Philipp Meyer

[2]

DINOv2: Learning Robust Visual Features without Supervision

2023M. Oquab, Timothée Darcet et al.

[3]

Origin of Brahmi Script from Logographic Elements: An Analysis

Founder's Pitch

"A two-stage framework for glyph similarity learning that combines contrastive learning and teacher-student distillation for improved few-shot recognition and script clustering."

Glyph Recognition•Score: 7•View PDF ↗

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Contrastive-to-Self-Supervised: A Two-Stage Framework for Script Similarity Learning

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References (23)

Founder's Pitch

"A two-stage framework for glyph similarity learning that combines contrastive learning and teacher-student distillation for improved few-shot recognition and script clustering."

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Contrastive-to-Self-Supervised: A Two-Stage Framework for Script Similarity Learning

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References (23)

Founder's Pitch

"A two-stage framework for glyph similarity learning that combines contrastive learning and teacher-student distillation for improved few-shot recognition and script clustering."

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