Adaptive Cross-Modal Few-shot Learning
adaptive-cross-modal-few-shot-learning 下载积分:2999 内容提示: Adaptive Cross-Modal Few-shot LearningChen Xing ∗College of Computer Science,Nankai University, Tianjin, ChinaElement AI, Montreal, CanadaNegar RostamzadehElement AI, Montreal, CanadaBoris N. OreshkinElement AI, Montreal, CanadaPedro ...
few-shot learning分类的训练是通过在给定的support set来最小化在query set中样本的预测损失。 训练时和原始的原型网络相似,但是这里距离度量改变了,AM3加入了语义信息,此时d为query point与cross-modal 原型的距离。上图(右)现实了AM3的work过程;假设query 样本q是属于类别i的,但是在视觉信息上与q最相近的是(a)...
(AM3)Adaptive Cross-Modal Few-shot Learning 论文笔记 ,并且根据不同的场景自适应地对它们进行混合,以达到最优效果。由此,本文提出AM3(AdaptiveModalityMixtureMechanism),它能够自适应并且有选择地结合两种模式(视觉和语义...前言本文提出了一种利用跨模式(cross-modal)信息(视觉特征和语义特征)来增强基于度量的小样...
Cross-modal encoders for vision-language (VL) tasks are often pretrained withcarefully curated vision-language datasets. While these datasets reach an orderof 10 million samples, the labor cost is prohibitive to scale further.Conversely, unimodal encoders are pretrained with simpler annotations that ...
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