24 citations · 90 across the 10 of their papers we have counts for
12 papers
TGDM: Target Guided Dynamic Mixup for Cross-Domain Few-Shot Learning
Linhai Zhuo, Yuqian Fu, Jingjing Chen +2
Given sufficient training data on the source domain, cross-domain few-shot learning (CD-FSL) aims at recognizing new classes with a small number of labeled examples on the target d…
ME-D2N: Multi-Expert Domain Decompositional Network for Cross-Domain Few-Shot Learning
Yuqian Fu, Yu Xie, Yanwei Fu +2
Recently, Cross-Domain Few-Shot Learning (CD-FSL) which aims at addressing the Few-Shot Learning (FSL) problem across different domains has attracted rising attention. The core cha…
Eternal solutions in exponential self-similar form for a quasilinear reaction-diffusion equation with critical singular potential
Razvan Gabriel Iagar, Marta Latorre, Ariel Sánchez
We prove existence and uniqueness of self-similar solutions with exponential form to the following quasilinear reaction-diffusion…
Cross-lingual Adaptation for Recipe Retrieval with Mixup
Bin Zhu, Chong-Wah Ngo, Jingjing Chen +1
Cross-modal recipe retrieval has attracted research attention in recent years, thanks to the availability of large-scale paired data for training. Nevertheless, obtaining adequate…
ObjectFormer for Image Manipulation Detection and Localization
Junke Wang, Zuxuan Wu, Jingjing Chen +4
Recent advances in image editing techniques have posed serious challenges to the trustworthiness of multimedia data, which drives the research of image tampering detection. In this…
Wave-SAN: Wavelet based Style Augmentation Network for Cross-Domain Few-Shot Learning
Yuqian Fu, Yu Xie, Yanwei Fu +2
Previous few-shot learning (FSL) works mostly are limited to natural images of general concepts and categories. These works assume very high visual similarity between the source an…