Mamba - Open Access .click

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Applied Sciences (Switzerland)
State space models (SSMs) with selection mechanisms and hardware-aware architectures, namely Mamba, have recently demonstrated significant promise in long-sequence modeling. Since the self-attention mechanism in transformers has quadratic complexity with image size and increasing computational demands, the researchers are now exploring how to adapt ...
Zi Ye, Ziyang Wang, Tianxiang Chen
exaly +4 more sources

MiM-ISTD: Mamba-in-Mamba for Efficient Infrared Small-Target Detection

IEEE Transactions on Geoscience and Remote Sensing
Recently, infrared small target detection (ISTD) has made significant progress, thanks to the development of basic models. Specifically, the models combining CNNs with transformers can successfully extract both local and global features. However, the disadvantage of the transformer is also inherited, i.e., the quadratic computational complexity to ...
Jieping Ye, Zhentao Tan, Bin Liu
exaly +5 more sources

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deep learning
transformer
hyperspectral image hsi classification

state space models
state-space model ssm
hyperspectral image classification

cnn
semantic segmentation
state space model

Mamba-Stereo: Mamba Regularization for Stereo matching

Pattern Recognition
Huihui Miao, Jinxin Liu, Shaoxuan Suo
exaly +2 more sources

E-Mamba: Efficient Mamba network for hyperspectral and LiDAR joint classification

Information Fusion
Hongmin Gao, Pedram Ghamisi, Yiyan Zhang
exaly +2 more sources

S³-Mamba: Small-Size-Sensitive Mamba for Lesion Segmentation

Proceedings of the AAAI Conference on Artificial Intelligence
Small lesions play a critical role in early disease diagnosis and intervention of severe infections. Popular models often face challenges in segmenting small lesions, as it occupies only a minor portion of an image, while down-sampling operations may inevitably lose focus on local features of small lesions.
Gui Wang +7 more
openaire +1 more source

Sparsifying Mamba

Findings of the Association for Computational Linguistics: EMNLP 2025
An Wang +4 more
openaire +2 more sources

Mamba

Africultures, 2003
openaire +1 more source

Polyp-Mamba: Polyp Segmentation with Visual Mamba

Zhongxing Xu +9 more
openaire +1 more source

Diff-Mamba: A diffusion-Mamba framework for hyperspectral image classification

Neurocomputing
Shuaibing Shi +4 more
openaire +1 more source

Toxicovenomics and antivenom profiling of the Eastern green mamba snake ()

Journal of Proteomics, 2016
Andreas Hougaard Laustsen-Kiel +2 more
exaly

deep learning
transformer
hyperspectral image hsi classification

state space models
state-space model ssm
hyperspectral image classification

cnn
semantic segmentation
state space model