首先我们简要介绍一下 domain adaptation of KNN-MT (k-nearest neighbour on machine translation),它主要分为两个步骤:In-domain datastore creation 和 decoding with retrieval。 首先,要把我们的 datastore 整理成我们需要的形式,我们的模型不可能直接输入原句,输出翻译句,这样的效果是会很差的,一般采用的方法是...
DA-Ada:学习领域感知适配器以进行领域自适应目标检测 DA-Ada Learning Domain-Aware Adapter for Domain Adaptive Object Detection 热度: 金融领域中的深度学习 Deep Learning for Financial Applications A Survey 热度: 计算机视觉的深度特征学习与自适应 Deep Feature Learning and Adaptation for Computer Vision ...
TransAdapter: Vision Transformer for Feature-Centric Unsupervised Domain Adaptation - enesdoruk/TransAdapter
Clip-adapter: Better vision-language models with feature adapters. ArXiv, abs/2110.04544, 2021. 3 [10] Yixiao Ge, Dapeng Chen, and Hongsheng Li. Mu- tual mean-teaching: Pseudo label refinery for unsuper- vised domain adaptation on person re-identification. ArXiv, abs/20...
* 题目: Noise-Tolerant Unsupervised Adapter for Vision-Language Models* PDF: arxiv.org/abs/2309.1492* 作者: Eman Ali,Dayan Guan,Shijian Lu,Abdulmotaleb Elsaddik* 题目: Towards Real-World Test-Time Adaptation: Tri-Net Self-Training with Balanced Normalization* PDF: arxiv.org/abs/2309.1494* ...