Proposes Ratio 1-2 metric for teacher selection in knowledge distillation for fine-grained image recognition, validated across 1000+ experiments showing 18% better selection and up to 17% student accuracy gains.
PP-LCNet: A Lightweight CPU Con- volutional Neural Network
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PaddleOCR 3.0 releases compact open-source models for OCR, document structure parsing, and information extraction that rival billion-parameter VLMs.
PP-OCRv6 introduces three tiers of lightweight OCR models (1.5M–34.5M parameters) built on unified MetaFormer blocks with reparameterization that claim superior accuracy to PP-OCRv5 and billion-scale VLMs on in-house benchmarks.
citing papers explorer
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How to Choose Your Teacher for Fine Grained Image Recognition
Proposes Ratio 1-2 metric for teacher selection in knowledge distillation for fine-grained image recognition, validated across 1000+ experiments showing 18% better selection and up to 17% student accuracy gains.
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PaddleOCR 3.0 Technical Report
PaddleOCR 3.0 releases compact open-source models for OCR, document structure parsing, and information extraction that rival billion-parameter VLMs.
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PP-OCRv6: From 1.5M to 34.5M Parameters, Surpassing Billion-Scale VLMs on OCR Tasks
PP-OCRv6 introduces three tiers of lightweight OCR models (1.5M–34.5M parameters) built on unified MetaFormer blocks with reparameterization that claim superior accuracy to PP-OCRv5 and billion-scale VLMs on in-house benchmarks.