IEEE8d
Efficient Image Processing via Memristive-Based Approximate In-Memory Computing
Abstract: Image processing algorithms continue to demand higher performance from computers. However, computer performance is not improving at the same rate as before. In response to the current ...
IEEE13d
Space-Air-Ground Integrated Wireless Networks for 6G: Basics, Key Technologies, and Future Trends
Abstract: With the expansive deployment of ground base stations, low Earth orbit (LEO) satellites, and aerial platforms such as unmanned aerial vehicles (UAVs) and high altitude platforms (HAPs), the ...
IEEE14d
S 2 CrossMamba: Spatial–Spectral Cross-Mamba for Multimodal Remote Sensing Image Classification
Abstract: Integration of complementary information from different modalities and efficient computation is crucial in remote sensing (RS) image classification applications. Convolutional neural ...
IEEE14d
Convolutional neural networks for time series classification
Abstract: Time series classification is an important task in time series data mining, and has attracted great interests and tremendous efforts during last decades. However, it remains a challenging ...
IEEE18d
Self-Adaptive Global Feature Fusion Network With Spectral Prompt for Hyperspectral Image Classification
Abstract: Nowadays, foundation models have demonstrated exceptional performance across numerous downstream tasks. However, the effective application of these models to hyperspectral image ...
IEEE19d
GraphMamba: An Efficient Graph Structure Learning Vision Mamba for Hyperspectral Image Classification
Abstract: Efficient extraction of spectral sequences and geospatial information is crucial in hyperspectral image (HSI) classification. Recurrent neural networks (RNNs) and Transformers excel in ...
IEEE23d
Multi-Modality Multi-Attribute Contrastive Pre-Training for Image Aesthetics Computing
Abstract: In the Image Aesthetics Computing (IAC) field, most prior methods leveraged the off-the-shelf backbones pre-trained on the large-scale ImageNet database. While these pre-trained backbones ...
IEEE24d
A Transformer-Based Industrial Time Series Prediction Model With Multivariate Dynamic Embedding
Abstract: Industrial time series prediction (ITSP) is critical to the predictive maintenance system of modern industry. However, time-varying conditions and complex industrial processes cause the ...
IEEE24d
FusionMamba: Efficient Remote Sensing Image Fusion with State Space Model
Abstract: Remote sensing image fusion aims to generate a high-resolution multi/hyper-spectral image by combining a high-resolution image with limited spectral data and a low-resolution image rich in ...
IEEE25d
Unbounded-GS: Extending 3D Gaussian Splatting With Hybrid Representation for Unbounded Large-Scale Scene Reconstruction
Abstract: Modeling large-scale scenes from multi-view images is challenging due to the trade-off dilemma between visual quality and computational cost. Existing NeRF-based methods have made ...
IEEE25d
Efficient Swin Transformer for Remote Sensing Image Super-Resolution
Abstract: Remote sensing super-resolution (SR) technique, which aims to generate high-resolution image with rich spatial details from its low-resolution counterpart, play a vital role in many ...
IEEE26d
H2MWSTNet: A Hybrid Hierarchical Multigranularity Window Shift Transformer Network for Hyperspectral Image Classification
Abstract: Currently, hybrid network models combining convolutional neural networks (CNNs) and Transformers have garnered significant interest among researchers in hyperspectral image (HSI) ...