Cover Image

MixerCA: An Efficient and Accurate Model for High-Performance Hyperspectral Image Classification

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Alkhatib, Mohammed Q., Jamali, Ali
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MixerSENet: A Lightweight Framework for Efficient Hyperspectral Image Classification
by: Alkhatib, Mohammed Q., et al.
Published: (2026)

Hyperspectral Image Classification using Spectral-Spatial Mixer Network
by: Alkhatib, Mohammed Q.
Published: (2025)

SceneMixer: Exploring Convolutional Mixing Networks for Remote Sensing Scene Classification
by: Alkhatib, Mohammed Q., et al.
Published: (2025)

ConvVitMamba: Efficient Multiscale Convolution, Transformer, and Mamba-Based Sequence modelling for Hyperspectral Image Classification
by: Alkhatib, Mohammed Q.
Published: (2026)

PolSAR Image Classification using a Hybrid Complex-Valued Network (HybridCVNet)
by: Alkhatib, Mohammed Q.
Published: (2026)

DDF2Pol: A Dual-Domain Feature Fusion Network for PolSAR Image Classification
by: Alkhatib, Mohammed Q.
Published: (2026)

How to Learn More? Exploring Kolmogorov-Arnold Networks for Hyperspectral Image Classification
by: Jamali, Ali, et al.
Published: (2024)

SpectralMamba: Efficient Mamba for Hyperspectral Image Classification
by: Yao, Jing, et al.
Published: (2024)

SDF2Net: Shallow to Deep Feature Fusion Network for PolSAR Image Classification
by: Alkhatib, Mohammed Q., et al.
Published: (2024)

Parameter-Efficient Fine-Tuning of Multispectral Foundation Models for Hyperspectral Image Classification
by: Ligan, Bernardin, et al.
Published: (2025)

ChebMixer: Efficient Graph Representation Learning with MLP Mixer
by: Kui, Xiaoyan, et al.
Published: (2024)

Hyperspectral Image Classification via Efficient Global Spectral Supertoken Clustering
by: Liu, Peifu, et al.
Published: (2026)

Efficient Dynamic Attention 3D Convolution for Hyperspectral Image Classification
by: Li, Guandong, et al.
Published: (2025)

When Segmentation Meets Hyperspectral Image: New Paradigm for Hyperspectral Image Classification
by: Zhou, Weilian, et al.
Published: (2025)

Triplet-Watershed for Hyperspectral Image Classification
by: Challa, Aditya, et al.
Published: (2021)

Efficient and Accurate Hyperspectral Image Demosaicing with Neural Network Architectures
by: Wisotzky, Eric L., et al.
Published: (2023)

Dual-stage Hyperspectral Image Classification Model with Spectral Supertoken
by: Liu, Peifu, et al.
Published: (2024)

Cosine-Normalized Attention for Hyperspectral Image Classification
by: Ahmad, Muhammad, et al.
Published: (2026)

Sparse Deformable Mamba for Hyperspectral Image Classification
by: Xu, Lincoln Linlin, et al.
Published: (2025)

Spectral-Spatial Mamba for Hyperspectral Image Classification
by: Huang, Lingbo, et al.
Published: (2024)

Dynamic Memory Transformer for Hyperspectral Image Classification
by: Ahmad, Muhammad
Published: (2025)

Pyramid Hierarchical Transformer for Hyperspectral Image Classification
by: Ahmad, Muhammad, et al.
Published: (2024)

Learning Conformal Explainers for Image Classifiers
by: Alkhatib, Amr, et al.
Published: (2025)

Performance Analysis of Image Classification on Bangladeshi Datasets
by: Khan, Mohammed Sami, et al.
Published: (2026)

Ultra-High-Definition Image Deblurring via Multi-scale Cubic-Mixer
by: Chen, Xingchi, et al.
Published: (2022)

Spectral Graph Reasoning Network for Hyperspectral Image Classification
by: Wang, Huiling
Published: (2024)

SPECIAL: Zero-shot Hyperspectral Image Classification With CLIP
by: Pang, Li, et al.
Published: (2025)

Honey Classification using Hyperspectral Imaging and Machine Learning
by: Al-Awadhi, Mokhtar A., et al.
Published: (2025)

ATOM: Attention Mixer for Efficient Dataset Distillation
by: Khaki, Samir, et al.
Published: (2024)

ESMStereo: Enhanced ShuffleMixer Disparity Upsampling for Real-Time and Accurate Stereo Matching
by: Tahmasebi, Mahmoud, et al.
Published: (2025)

Label Semantics for Robust Hyperspectral Image Classification
by: Hassan, Rafin, et al.
Published: (2025)

Exploring Synergistic Ensemble Learning: Uniting CNNs, MLP-Mixers, and Vision Transformers to Enhance Image Classification
by: Bashar, Mk, et al.
Published: (2025)

Spatial-Aware Conformal Prediction for Trustworthy Hyperspectral Image Classification
by: Liu, Kangdao, et al.
Published: (2024)

Multi-head Spatial-Spectral Mamba for Hyperspectral Image Classification
by: Ahmad, Muhammad, et al.
Published: (2024)

MambaHSI: Spatial-Spectral Mamba for Hyperspectral Image Classification
by: Li, Yapeng, et al.
Published: (2025)

Dual Selective Fusion Transformer Network for Hyperspectral Image Classification
by: Xu, Yichu, et al.
Published: (2024)

CWSSNet: Hyperspectral Image Classification Enhanced by Wavelet Domain Convolution
by: Tong, Yulin, et al.
Published: (2025)

Cross-Domain Transfer with Self-Supervised Spectral-Spatial Modeling for Hyperspectral Image Classification
by: Chao, Jianshu, et al.
Published: (2026)

Dual Classification Head Self-training Network for Cross-scene Hyperspectral Image Classification
by: Liu, Rong, et al.
Published: (2025)

GroupedMixer: An Entropy Model with Group-wise Token-Mixers for Learned Image Compression
by: Li, Daxin, et al.
Published: (2024)