Search Results for author: Peiran Xu

Found 2 papers, 1 papers with code

FedConv: Enhancing Convolutional Neural Networks for Handling Data Heterogeneity in Federated Learning

1 code implementation • 6 Oct 2023 • Peiran Xu, Zeyu Wang, Jieru Mei, Liangqiong Qu, Alan Yuille, Cihang Xie, Yuyin Zhou

Federated learning (FL) is an emerging paradigm in machine learning, where a shared model is collaboratively learned using data from multiple devices to mitigate the risk of data leakage.

Federated Learning

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Co-Salient Object Detection with Semantic-Level Consensus Extraction and Dispersion

no code implementations • 14 Sep 2023 • Peiran Xu, Yadong Mu

Given a group of images, co-salient object detection (CoSOD) aims to highlight the common salient object in each image.

Co-Salient Object Detection Object +2

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