Search Results for author: Xu Ma

Found 8 papers, 0 papers with code

Do We Need to Directly Access the Source Datasets for Domain Generalization?

no code implementations13 Oct 2021 Junkun Yuan, Xu Ma, Defang Chen, Kun Kuang, Fei Wu, Lanfen Lin

We propose a novel method for this setting, which first trains a model on each source dataset and then conduct data-free model fusion that fuses the trained models layer-by-layer based on their semantic similarities, which aggregates different levels of semantics from the distributed sources indirectly.

Domain Generalization

Learning Domain-Invariant Relationship with Instrumental Variable for Domain Generalization

no code implementations4 Oct 2021 Junkun Yuan, Xu Ma, Kun Kuang, Ruoxuan Xiong, Mingming Gong, Lanfen Lin

Specifically, it first learns the conditional distribution of input features of one domain given input features of another domain, and then it estimates the domain-invariant relationship by predicting labels with the learned conditional distribution.

Domain Generalization

Domain-Specific Bias Filtering for Single Labeled Domain Generalization

no code implementations2 Oct 2021 Junkun Yuan, Xu Ma, Defang Chen, Kun Kuang, Fei Wu, Lanfen Lin

In this paper, we investigate a Single Labeled Domain Generalization (SLDG) task with only one source domain being labeled, which is more practical and challenging than the Conventional Domain Generalization (CDG).

Domain Generalization

Compressive Circular Polarization Snapshot Spectral Imaging

no code implementations29 Nov 2020 Jianglan Ning, Zhilong Xu, Dan Wu, Rui Zhang, Yuanyuan Wang, Yingge Xie, Wei Zhao, Xu Ma, Wenyi Ren

A compressive sensing based circular polarization snapshot spectral imaging system is proposed in this paper to acquire two-dimensional spatial, one-dimensional circular polarization (the right and left circular polarization), and one-dimensional spectral information, simultaneously.

Compressive Sensing Optics Image and Video Processing 78A10 (Primary) I.4.2; I.4.4; I.4.5

Compressive spectral image classification using 3D coded convolutional neural network

no code implementations23 Sep 2020 Hao Zhang, Xu Ma, Xianhong Zhao, Gonzalo R. Arce

The accuracy of classification is effectively improved by exploiting the synergy between the deep learning network and coded apertures.

Classification General Classification +1

Polestar: An Intelligent, Efficient and National-Wide Public Transportation Routing Engine

no code implementations11 Jul 2020 Hao Liu, Ying Li, Yanjie Fu, Huaibo Mei, Jingbo Zhou, Xu Ma, Hui Xiong

Then, we introduce a general route search algorithm coupled with an efficient station binding method for efficient route candidate generation.

DCANet: Learning Connected Attentions for Convolutional Neural Networks

no code implementations9 Jul 2020 Xu Ma, Jingda Guo, Sihai Tang, Zhinan Qiao, Qi Chen, Qing Yang, Song Fu

With DCANet, all attention blocks in a CNN model are trained jointly, which improves the ability of attention learning.

Cannot find the paper you are looking for? You can Submit a new open access paper.