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Aug, 2023
经过图像处理的零样本分类器注入
Image-free Classifier Injection for Zero-Shot Classification
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Anders Christensen, Massimiliano Mancini, A. Sophia Koepke, Ole Winther, Zeynep Akata
TL;DR
本文提出了一种名为ICIS的图像无关分类器注入方法,它可以在不依赖图像数据的情况下为预训练模型赋予零样本分类能力,并通过在预训练分类模型之上应用ICIS来产生强大的零样本分类器权重。
Abstract
zero-shot learning
models achieve remarkable results on
image classification
for samples from classes that were not seen during training. However, such models must be trained from scratch with specialised methods
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