Results 101 to 110 of about 6,939 (213)
HG-Mamba: A Hybrid Geometry-Aware Bidirectional Mamba Network for Hyperspectral Image Classification
Deep learning has demonstrated significant success in hyperspectral image (HSI) classification by effectively leveraging spatial–spectral feature learning. However, current approaches encounter three challenges: (1) high spectral redundancy and the
Haotian Shi +6 more
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Serialized Point Mamba: A Serialized Point Cloud Mamba Segmentation Model
Point cloud segmentation is crucial for robotic visual perception and environmental understanding, enabling applications such as robotic navigation and 3D reconstruction.
Luo, Haoming +4 more
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Mamba-based Segmentation Model for Speaker Diarization
International audienceMamba is a newly proposed architecture that behaves like a recurrent neural network (RNN) with attention-like capabilities. These properties are promising for speaker diarization, as attention-based models have unsuitable memory ...
Araki, Shoko +5 more
core +1 more source
Autoregressive Pretraining with Mamba in Vision
The vision community has started to build with the recently developed state space model, Mamba, as the new backbone for a range of tasks. This paper shows that Mamba's visual capability can be significantly enhanced through autoregressive pretraining, a ...
Ren, Sucheng +11 more
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Mamba for Scalable and Efficient Personalized Recommendations
In this effort, we propose using the Mamba for handling tabular data in personalized recommendation systems. We present the \textit{FT-Mamba} (Feature Tokenizer\,$+$\,Mamba), a novel hybrid model that replaces Transformer layers with Mamba layers within ...
Webster, Clayton, Starnes, Andrew
core
ReMamber: Referring Image Segmentation with Mamba Twister
Referring Image Segmentation~(RIS) leveraging transformers has achieved great success on the interpretation of complex visual-language tasks. However, the quadratic computation cost makes it resource-consuming in capturing long-range visual-language ...
Yao, Jiangchao +5 more
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CLIP-Mamba: CLIP Pretrained Mamba Models with OOD and Hessian Evaluation
State space models and Mamba-based models have been increasingly applied across various domains, achieving state-of-the-art performance. This technical report introduces the first attempt to train a transferable Mamba model utilizing contrastive language-
Yang, Yifan, Shen, Yifei, Huang, Weiquan
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Algae-Mamba: A Spatially Variable Mamba for Algae Extraction From Remote Sensing Images
To maintain marine ecosystem health, effective algae monitoring is essential. Traditional threshold-based methods and standard machine learning techniques often fall short in accurately and automatically distinguishing algae types.
Shiqing Wei +5 more
core +1 more source
Micro-gesture recognition using Mamba [PDF]
In computer vision studies human-computer interaction is very significant, and its dimensions gradually increase with diverse advanced studies. Human emotion and gesture based studies has taken a large share with advanced deep learning computer vision ...
Partha, Durbar Hore
core
PG-Mamba: An Enhanced Graph Framework for Mamba-Based Time Series Clustering
Time series clustering finds wide application but is often limited by data quality and the inherent limitations of existing methods. Compared to high-dimensional structured data like images, the low-dimensional features of time series contain less ...
Dongshi Zuo, Jing Gao, Yao Sun
core +1 more source