B-Xi
I'm currently a Lecturer with the School of Communication Engineering, Xidian University, where I am now focusing on HSI processing and deep learning.
Xidian UniversitySchool of Telecommunications Engineering, Xidian University, Xi’an 710071, China 2 South Taibai Road
Pinned Repositories
B-Xi.github.io
My homepage: https://b-xi.github.io/
CTF-SSCL
CTF-SSCL: CNN-Transformer for Few-shot Hyperspectral Image Classification Assisted by Semisupervised Contrastive Learning, TGRS, 2024
IGARSS_2021_SSGPN
Semi-Supervised Graph Prototypical Networks for Hyperspectral Image Classification, IGARSS, 2021.
JSTARS_2020_DPN-HRA
Deep Prototypical Networks With Hybrid Residual Attention for Hyperspectral Image Classification, JSTARS, 2020
TCSVT_2022_DGSSC
DGSSC: A Deep Generative Spectral-Spatial Classifier for Imbalanced Hyperspectral Imagery, TCSVT, 2022
TGRS_2020_MSC-EDKELM
Multiscale Context-aware Ensemble Deep KELM for Efficient Hyperspectral Image Classification, TGRS, 2020.
TGRS_2021_MDN-ASP
Multi-direction Networks with Attentional Spectral Prior for Hyperspectral Image Classification, TGRS, 2021.
TGRS_MLUDA_2024
code for 《Mind the Gap: Mutil-Level Unsupervised Domain Adaptation for Cross-scene Hyperspectral Image Classification》
TIP_2022_CMFSL
Few-shot Learning with Class-Covariance Metric for Hyperspectral Image Classification, TIP, 2022
TNNLS_2022_X-GPN
Semisupervised Cross-scale Graph Prototypical Network for Hyperspectral Image Classification, TNNLS, 2022.
B-Xi's Repositories
B-Xi/TCSVT_2022_DGSSC
DGSSC: A Deep Generative Spectral-Spatial Classifier for Imbalanced Hyperspectral Imagery, TCSVT, 2022
B-Xi/CTF-SSCL
CTF-SSCL: CNN-Transformer for Few-shot Hyperspectral Image Classification Assisted by Semisupervised Contrastive Learning, TGRS, 2024
B-Xi/IEEE_TNNLS_Gia-CFSL
Graph Information Aggregation Cross-domain Few-shot Learning for Hyperspectral Image Classification. IEEE TNNLS, 2022.
B-Xi/BAMS-FE
The feature extraction code of "BAMS-FE: Band-by-Band Adaptive Multiscale Superpixel Feature Extraction for Hyperspectral Image Classification", which was publiced in TGRS in 2023
B-Xi/TGRS-GSC-VIT
B-Xi/TGRS_MLUDA_2024
code for 《Mind the Gap: Mutil-Level Unsupervised Domain Adaptation for Cross-scene Hyperspectral Image Classification》
B-Xi/B-Xi.github.io
My homepage: https://b-xi.github.io/
B-Xi/Review-for-ZSRSSC
Review for ZRRSSC, Published in JSTARS 2024
B-Xi/3D-ConvSST
B-Xi/ARC
B-Xi/Conventional-to-Transformer-for-Hyperspectral-Image-Classification-Survey-2024
B-Xi/DCN-T
[TIP 2023] The official repo for the paper "DCN-T: Dual Context Network with Transformer for Hyperspectral Image Classification".
B-Xi/DGPF-RENet
DGPF-RENet: A Low Data Dependency Network For Hyperspectral Image Classification (Submitted to TGRS)
B-Xi/ExViT
B-Xi/FullyContNet
[TGRS 2021] The official repo for the paper "Fully Contextual Network for Hyperspectral Scene Parsing".
B-Xi/Fusion_HCT
G. Zhao, Q. Ye, L. Sun, Z. Wu, C. Pan, and B. Jeon. "Joint Classification of Hyperspectral and LiDAR Data Using a Hierarchical CNN and Transformer," in IEEE TGRS, 2023.
B-Xi/HCFSL-NAS
B-Xi/HDECGCN-Framework
B-Xi/HSIC-platform
A integrated deep learning platform for hyperspectral classification by pytorch
B-Xi/HyperTaFOR
B-Xi/KnowCL
B-Xi/MASSFormer
B-Xi/MCTGCL
B-Xi/MRCAGCFN
B-Xi/NNCNet
B-Xi/RSE_Cross-city
B-Xi/S2ADet
B-Xi/spectral_diff_temp
spectral diffusion model temp
B-Xi/TEFSL
B-Xi/Transformer-SOD