IEEE

Dual-Graph Knowledge Distillation Meets Multiscale CNN: A Novel Ensemble Approach for Few-Shot Hyperspectral Image Classification

Hyperspectral image (HSI) classification aims at categorizing each pixel in an HSI, facilitating precise identification and differentiation of various land cover types. In recent years, graph neural ...
IEEE

Investigation of Deep Learning Techniques Used in Medicinal Plants Identification and Classification

Abstract: There is a global dependence on medicinal plants for the treatment of diverse health conditions, particularly in developing countries, where government medical facilities are inadequate.
IEEE

Structure-Preserving Frequency-Regularized Text-Guided Optimal Transport for Unpaired Rain Streaks and Raindrops Removal

Abstract: The removal of rain streaks and raindrops is crucial for enhancing the image visibility and mitigating the weather degradations. However, most existing approaches rely on the paired rainy ...
Hosted on MSN

Photoshop tutorial: How to create 3-D text with deep, dramatic shadows

Photoshop cc 2015 tutorial showing how to create simple, but powerful 3-D text with deep, dramatic shadows. If your 3-D &/or lighting effects aren't available or they're grayed out, it may be due to ...
IEEE

Cross-Domain Hyperspectral Image Classification via Mamba–CNN and Knowledge Distillation

Abstract: Domain adaptation (DA)-based cross-domain hyperspectral image (HSI) classification methods have garnered significant attention. The majority of DA techniques utilize models based on ...
IEEE

Enhancing Text Classification Through Quantum Transfer Learning: A Hybrid Quantum-Classical Approach With Complex Kernel Self-Attention Networks

Abstract: Quantum computing, with its unique principles such as superposition and entanglement, promises to transform various domains, including artificial intelligence. This study investigates the ...
IEEE

Have We Scene It All? Scene Graph-Aware Deep Point Cloud Compression

Efficient transmission of 3D point cloud data is critical for advanced perception in centralized and decentralized multi-agent robotic systems, especially nowadays with the growing reliance on edge ...
IEEE

Multiscale Spatial Graph-Regularized Hierarchical Sparse Unmixing Based on the Framelet Transform

Abstract: Hyperspectral unmixing (HU) is dedicated to disassemble mixed pixels into a group of pure spectral signatures (endmembers) and their respective fractional abundances. By utilizing available ...