Search Results for author: Shujun Yang

Found 5 papers, 4 papers with code

Superpixelwise Low-rank Approximation based Partial Label Learning for Hyperspectral Image Classification

1 code implementation27 May 2024 Shujun Yang, Yu Zhang, Yao Ding, Danfeng Hong

In this paper, we propose a novel superpixelwise low-rank approximation (LRA)-based partial label learning method, namely SLAP, which is the first to take into account partial label learning in HSI classification.

Hyperspectral Image Classification Partial Label Learning

Personalized Federated Learning with Local Attention

no code implementations2 Apr 2023 Sicong Liang, Junchao Tian, Shujun Yang, Yu Zhang

The key challenge of FL is the heterogeneity of local data in different clients, such as heterogeneous label distribution and feature shift, which could lead to significant performance degradation of the learned models.

Image Classification object-detection +2

Local Low-Rank Approximation With Superpixel-Guided Locality Preserving Graph for Hyperspectral Image Classification

1 code implementation journal 2022 Shujun Yang, Yu Zhang, Yuheng Jia, and Weijia Zhang

By taking advantage of the local manifold structure, a Laplacian graph is constructed from the superpixels to ensure that a typical pixel should be similar to its neighbors within the same superpixel.

Hyperspectral Image Classification Superpixels

Superpixel-guided Discriminative Low-rank Representation of Hyperspectral Images for Classification

1 code implementation25 Aug 2021 Shujun Yang, Junhui Hou, Yuheng Jia, Shaohui Mei, Qian Du

Specifically, by utilizing the local spatial information and incorporating the predictions from a typical classifier, the first module segments pixels of an input HSI (or its restoration generated by the second module) into superpixels.

Superpixels

Hyperspectral Image Classification via Sparse Representation With Incremental Dictionaries

1 code implementation journal 2019 Shujun Yang, Junhui Hou, Yuheng Jia, Shaohui Mei, and Qian Du

In this letter, we propose a new sparse representation (SR)-based method for hyperspectral image (HSI) classification, namely SR with incremental dictionaries (SRID).

Classification Hyperspectral Image Classification

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