IEEE

Exploring Latent Feature Representations of Image Pixels via Convolutional Neural Network to Enhance Food Segmentation

Abstract: For open-vocabulary recognition of ingredients in food images, ingredient segmentation is a crucial step; however, it remains a challenging problem. This paper proposes a novel approach that ...
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

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

Secure Spread Spectrum Image Steganography Using a CNN-Based Learned Detector

Abstract: Spread Spectrum Image Steganography (SSIS) represents a promising approach for embedding secret data into a cover image. In conventional methods, a pseudo-noise (PN) sequence functions as a ...