1 citations · 1 across the 2 of their papers we have counts for
3 papers
cs.CV2024
Superpixelwise Low-rank Approximation based Partial Label Learning for Hyperspectral Image Classification
Shujun Yang, Yu Zhang, Yao Ding +1
Insufficient prior knowledge of a captured hyperspectral image (HSI) scene may lead the experts or the automatic labeling systems to offer incorrect labels or ambiguous labels (i.e…
cs.LG2023★ 1 cited
Personalized Federated Learning with Local Attention
Sicong Liang, Junchao Tian, Shujun Yang +1
Federated Learning (FL) aims to learn a single global model that enables the central server to help the model training in local clients without accessing their local data. The key…
cs.CV2021
Superpixel-guided Discriminative Low-rank Representation of Hyperspectral Images for Classification
Shujun Yang, Junhui Hou, Yuheng Jia +2
In this paper, we propose a novel classification scheme for the remotely sensed hyperspectral image (HSI), namely SP-DLRR, by comprehensively exploring its unique characteristics,…