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20232026
most citedSMamba: A Spatial-spectral State Space Model for Hyperspectral Image Classification

75 citations · 93 across the 5 of their papers we have counts for

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6 papers · 1 filter

cs.CV2026

Seeking Consensus: Geometric-Semantic On-the-Fly Recalibration for Open-Vocabulary Remote Sensing Semantic Segmentation

Guanchun Wang, Chenxiao Wu, Xiangrong Zhang +4

Open-vocabulary semantic segmentation (OVSS) in remote sensing images is a promising task that employs textual descriptions for identifying undefined land cover categories. Despite…

cs.CV20254 cited

ACMamba: Fast Unsupervised Anomaly Detection via An Asymmetrical Consensus State Space Model

Guanchun Wang, Xiangrong Zhang, Yifei Zhang +4

Unsupervised anomaly detection in hyperspectral images (HSI), aiming to detect unknown targets from backgrounds, is challenging for earth surface monitoring. However, current studi…

cs.CV202475 cited

SMamba: A Spatial-spectral State Space Model for Hyperspectral Image Classification

Guanchun Wang, Xiangrong Zhang, Zelin Peng +2

Land cover analysis using hyperspectral images (HSI) remains an open problem due to their low spatial resolution and complex spectral information. Recent studies are primarily dedi…

cs.CV20235 cited

Remote Sensing Object Detection Meets Deep Learning: A Meta-review of Challenges and Advances

Xiangrong Zhang, Tianyang Zhang, Guanchun Wang +4

Remote sensing object detection (RSOD), one of the most fundamental and challenging tasks in the remote sensing field, has received longstanding attention. In recent years, deep le…

cs.CV20239 cited

DiffUCD:Unsupervised Hyperspectral Image Change Detection with Semantic Correlation Diffusion Model

Xiangrong Zhang, Shunli Tian, Guanchun Wang +2

Hyperspectral image change detection (HSI-CD) has emerged as a crucial research area in remote sensing due to its ability to detect subtle changes on the earth's surface. Recently,…

cs.CV2023

USAGE: A Unified Seed Area Generation Paradigm for Weakly Supervised Semantic Segmentation

Zelin Peng, Guanchun Wang, Lingxi Xie +3

Seed area generation is usually the starting point of weakly supervised semantic segmentation (WSSS). Computing the Class Activation Map (CAM) from a multi-label classification net…