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A Survey on Visual Mamba [PDF]
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 ...
Tianxiang Chen, Ziyang Wang, Zi Ye
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MiM-ISTD: Mamba-in-Mamba for Efficient Infrared Small-Target Detection
IEEE Transactions on Geoscience and Remote SensingRecently, 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 ...
Tianxiang Chen, Zi Ye, Zhentao Tan
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E-Mamba: Efficient Mamba network for hyperspectral and LiDAR joint classification
Information FusionYiyan Zhang +2 more
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S³-Mamba: Small-Size-Sensitive Mamba for Lesion Segmentation
Proceedings of the AAAI Conference on Artificial IntelligenceSmall 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
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Findings of the Association for Computational Linguistics: EMNLP 2025
An Wang +4 more
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An Wang +4 more
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Mamba-Stereo: Mamba Regularization for Stereo matching
Pattern RecognitionShaoxuan Suo, Jinxin Liu, Huihui Miao
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Toxicovenomics and antivenom profiling of the Eastern green mamba snake ( Dendroaspis angusticeps )
Journal of Proteomics, 2016Andreas H Laustsen +2 more
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