Papers Semi-Supervised Image Classification on ImageNet - 10% labeled data
“Semi-Supervised Image Classification on ImageNet - 10% labeled data” 태그가 달린 논문 2편 · 필터 해제
Simple Semi-supervised Knowledge Distillation from Vision-Language Models via $\mathbf{\texttt{D}}$ual-$\mathbf{\texttt{H}}$ead $\mathbf{\texttt{O}}$ptimization
2025-05-12
· Seongjae Kang, Dong Bok Lee, Hyungjoon Jang, Sung Ju Hwang
Vision-language models (VLMs) have achieved remarkable success across diverse tasks by leveraging rich textual information with minimal labeled data. However, deploying such large models remains challenging, particularly…
Few-Shot Image ClassificationKnowledge DistillationSemi-Supervised Image ClassificationSemi-Supervised Image Classification on ImageNet - 10% labeled dataSequenceMatch: Revisiting the design of weak-strong augmentations for Semi-supervised learning
2023-10-24
· Khanh-Binh Nguyen
Semi-supervised learning (SSL) has become popular in recent years because it allows the training of a model using a large amount of unlabeled data. However, one issue that many SSL methods face is the confirmation bias, …
Semi-Supervised Image ClassificationSemi-Supervised Image Classification on ImageNet - 10% labeled data
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