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  3. Multimodal Dataset Distillation via Phased Teacher Models
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Multimodal Dataset Distillation via Phased Teacher Models

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Evidence Receipt

Freshness: 2026-04-02T02:30:40.136932+00:00

Claims: 0

References: 0

Proof: partial

Distribution: unknown

Source paper: Multimodal Dataset Distillation via Phased Teacher Models

PDF: https://arxiv.org/pdf/2603.25388v1

Repository: https://github.com/Previsior/PTM-ST

First buyer signal: unknown

Distribution channel: unknown

Last proof check: 2026-03-27T20:30:28.910934+00:00

Starting…

Dimensions overall score 7.0

GitHub Code Pulse

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2
Health
C
Last commit
4/1/2026
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0
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Builds On This
DAIT: Distillation from Vision-Language Models to Lightweight Classifiers with Adaptive Intermediate Teacher Transfer
Score 6.0down
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Drive-KD: Multi-Teacher Distillation for VLMs in Autonomous Driving
Score 2.0down
Prior Work
Powerful Teachers Matter: Text-Guided Multi-view Knowledge Distillation with Visual Prior Enhancement
Score 7.0stable
Prior Work
Uncertainty-Aware Knowledge Distillation for Multimodal Large Language Models
Score 7.0stable
Prior Work
Learnability-Guided Diffusion for Dataset Distillation
Score 7.0stable
Prior Work
From Images to Words: Efficient Cross-Modal Knowledge Distillation to Language Models from Black-box Teachers
Score 7.0stable
Prior Work
Beyond Single-Sample: Reliable Multi-Sample Distillation for Video Understanding
Score 7.0stable
Prior Work
TaPD: Temporal-adaptive Progressive Distillation for Observation-Adaptive Trajectory Forecasting in Autonomous Driving
Score 7.0stable

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