16 citations · 23 across the 4 of their papers we have counts for
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cs.CV2022
Federated Selective Aggregation for Knowledge Amalgamation
Donglin Xie, Ruonan Yu, Gongfan Fang +5
In this paper, we explore a new knowledge-amalgamation problem, termed Federated Selective Aggregation (FedSA). The goal of FedSA is to train a student model for a new task with th…
cs.CV2022
CADG: A Model Based on Cross Attention for Domain Generalization
Cheng Dai, Yingqiao Lin, Fan Li +2
In Domain Generalization (DG) tasks, models are trained by using only training data from the source domains to achieve generalization on an unseen target domain, this will suffer f…
cs.CV2020★ 16 cited
PIC-Net: Point Cloud and Image Collaboration Network for Large-Scale Place Recognition
Yuheng Lu, Fan Yang, Fangping Chen +1
Place recognition is one of the hot research fields in automation technology and is still an open issue, Camera and Lidar are two mainstream sensors used in this task, Camera-based…