IEEE

Asymmetric Mamba–CNN Collaborative Architecture for Large-Size Remote Sensing Image Semantic Segmentation

Large-size remote sensing images contain rich geographical information. Efficient and accurate semantic segmentation of these images is of significant importance in various fields. However, the ...
IEEE

CNN-Based Plant Disease Classification: An Image Analysis Approach

Abstract: The agriculture industry faces significant challenges in maintaining sustainable plant growth while combating diseases that threaten crops. Traditional disease prevention methods rely on ...
IEEE

Chinese to English Machine Translation using Boundary-Assistant Encoder-Decoder Network with Embeddings from Language Models

Abstract: In recent years, translation of text from one language to another without human involvement is done automatically through Artificial Intelligence (AI) which is defined as English Machine ...
IEEE

XLSTM-HVED: Cross-Modal Brain Tumor Segmentation and MRI Reconstruction Method Using Vision Xlstm and Heteromodal Variational Encoder-Decoder

Abstract: Neurogliomas are among the most aggressive forms of can-cer, presenting considerable challenges in both treatment and monitoring due to their unpredictable biological behav-ior. Magnetic ...
IEEE

Enhanced CNN Architecture with Residual Blocks and Regularization for AI-Generated Image Detection

Abstract: The growing popularity of social networks has led to an unprecedented surge in the number of digital images shared daily. As a result, ensuring the authenticity of these images has become a ...
IEEE

Asymmetric Dual-Encoder Network with Clustering and Mutual Contrast Loss for the Semantic Segmentation of Remote-Sensing Images

Abstract: In recent years, the semantic segmentation of multimodal remote-sensing images using convolutional methods has received significant attention. Owing to the localized nature of convolutional ...
IEEE

SAR Aircraft Segmentation With SAR-to-Optical Image Translation and Segment Anything Model

Abstract: Instance segmentation in synthetic aperture radar (SAR) imagery has demonstrated notable success for certain target types such as vehicles and ships. However, accurate segmentation of ...
IEEE

MSCD-VM-UNet: A Vision Mamba Combining Multi-Scale Global and Local Feature Extraction With Cross-Domain Feature Fusion for Medical Image Segmentation

Abstract: Accurate segmentation of tissues and lesions is essential for diagnosis and treatment. State Space Models (SSMs) have gained attention for their linear complexity and ability to model ...
IEEE

Rotation Invariant Sonar Image Segmentation for Undersea Cables

Abstract: Undersea cable detection is a prerequisite for cable maintenance and repair. However, extracting cables from side-scan sonar images is challenging due to the lack of details and interference ...
IEEE

Memristor based Crossbar Array using CNN for Image Processing Applications

Abstract: Image processing has become one of the popular neuromorphic computing applications in recent years. Most of the application areas require an efficient and real time image processing system.
GitHub

VeloxSeg: Johnson-Lindenstrauss Lemma Guided Network for Efficient 3D Medical Segmentation

Overview of VeloxSeg. VeloxSeg employs an encoder-decoder architecture with Paired Window Attention (PWA) and Johnson-Lindenstrauss lemma-guided convolution (JLC) on the left, using 1x1 convolution as ...
IEEE

More Unlabeled Data Does Matter: A Full-Cycle Framework for Semi-Supervised Semantic Segmentation of Remote Sensing Images

Abstract: Semi-supervised semantic segmentation has gained considerable attention due to its ability to leverage large amounts of unlabeled data to enhance model generalization. Although increasing ...