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IEEE12d
AI and Memory Wall | IEEE Journals & Magazine | IEEE Xplore
The availability of unprecedented unsupervised training data, along with neural scaling laws, has resulted in an unprecedented surge in model size and compute requirements for serving/training large ...
IEEE2mon
HSI-MFormer: Integrating Mamba and Transformer Experts for Hyperspectral Image Classification | IEEE Journals & Magazine | IEEE Xplore
Hyperspectral image (HSI) classification is fundamental to numerous remote sensing applications, enabling detailed analysis of material properties and environmental conditions. Recent Mamba built upon ...
IEEE2mon
MB-TaylorFormer V2: Improved Multi-Branch Linear Transformer Expanded by Taylor Formula for Image Restoration | IEEE Journals & Magazine | IEEE Xplore
Recently, Transformer networks have demonstrated outstanding performance in the field of image restoration due to the global receptive field and adaptability to input. However, the quadratic ...
IEEE5mon
Hyperspectral Image Classification via Cascaded Spatial Cross-Attention Network | IEEE Journals & Magazine | IEEE Xplore
In hyperspectral images (HSIs), different land cover (LC) classes have distinct reflective characteristics at various wavelengths. Therefore, relying on only a few bands to distinguish all LC classes ...
IEEE5mon
Global–Local Fusion With Semantic Information Guidance for Accurate Small Object Detection in UAV Aerial Images | IEEE Journals & Magazine | IEEE Xplore
In recent years, the rapid development of the unmanned aerial vehicle (UAV) technology has generated a large number of aerial photography images captured by UAV. Consequently, the object detection in ...
IEEE5mon
Channel Deduction: A New Learning Framework to Acquire Channel From Outdated Samples and Coarse Estimate | IEEE Journals & Magazine | IEEE Xplore
Channel Deduction: A New Learning Framework to Acquire Channel From Outdated Samples and Coarse Estimate ...
IEEE6mon
VDMUFusion: A Versatile Diffusion Model-Based Unsupervised Framework for Image Fusion | IEEE Journals & Magazine | IEEE Xplore
Image fusion facilitates the integration of information from various source images of the same scene into a composite image, thereby benefiting perception, analysis, and understanding. Recently, ...
IEEE8mon
Unsupervised Degradation Representation Learning for Unpaired Restoration of Images and Point Clouds | IEEE Journals & Magazine | IEEE Xplore
Restoration tasks in low-level vision aim to restore high-quality (HQ) data from their low-quality (LQ) observations. To circumvents the difficulty of acquiring paired data in real scenarios, unpaired ...
IEEE8mon
Federated Large Language Model: Solutions, Challenges and Future Directions | IEEE Journals & Magazine | IEEE Xplore
Large language models (LLMs) have become increasingly popular due to their exceptional performance in various artificial intelligence applications. However, their development often suffers from the ...
IEEE10mon
IdeNet: Making Neural Network Identify Camouflaged Objects Like Creatures | IEEE Journals & Magazine | IEEE Xplore
Camouflaged objects often blend in with their surroundings, making the perception of a camouflaged object a more complex procedure. However, most neural-network-based methods that simulate the visual ...
IEEE10mon
Large Language Model Enhanced Multi-Agent Systems for 6G Communications | IEEE Journals & Magazine | IEEE Xplore
The rapid development of the large language model (LLM) presents huge opportunities for 6G communications – for example, network optimization and management – by allowing users to input task ...
IEEE10mon
Brain-Inspired Computing: A Systematic Survey and Future Trends
Brain-inspired computing (BIC) is an emerging research field that aims to build fundamental theories, models, hardware architectures, and application systems toward more general artificial ...