IEEE

Efficient JPEG-AI Image Coding for Remote Sensing Semantic Segmentation

Abstract: Efficient image compression is crucial for remote sensing (RS) satellite systems, as it determines the performance of machine vision applications analyzing the downlinked image data at ...
GitHub

Neural Graphics Model Gym

Please be aware that this is a beta release. Beta means that the product may not be functionally or feature complete. At this early phase the product is not yet expected to fully meet the quality, ...
Frontiers

Advancing Deep Learning Frameworks for Enhanced Cervical Cancer Diagnosis, Staging and Treatment

Cervical cancer detection and diagnosis are undergoing a transformation with the integration of advanced deep learning (DL) technologies. Despite ...
IEEE

Study on Depression Detection Model with Self-Supervised Speech Representation: The Architecture of wav2vec2-LSTM-CNN

Abstract: Depression is a common mental disorder with increasing global incidence rates. Traditional diagnostic methods rely on subjective assessments, which are time-consuming, costly, and lack ...
IEEE

GLUS: Global-Local Reasoning Unified into A Single Large Language Model for Video Segmentation

Abstract: This paper proposes a novel framework utilizing multimodal large language models (MLLMs) for referring video object segmentation (RefVOS). Previous MLLMbased methods commonly struggle with ...
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

CrackSight: An Efficient Crack Segmentation Model in Varying Acquisition Ranges and Complex Backgrounds

Abstract: Accurate crack segmentation in concrete transportation infrastructures is critical for ensuring structural integrity and facilitating timely maintenance interventions. This paper presents ...
IEEE

Hybrid CNN-Transformer Model for Multi-Scale Environmental Impact Assessment in Circular Waste Management Systems

Abstract: The assessment of the impact of the circular waste management system cannot be done by the conventional methods of impact assessment due to the stochastic distribution of waste and the ...
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

Short-term prediction of wind turbine power based on improved CNN-LSTM hybrid model

Abstract: Precise short-term prediction of wind turbine power is crucial for optimizing power dispatching, enhancing power grid reliability, and improving wind power consumption capabilities. This ...
IEEE

Comparison of CNN and Transformer Models for Predicting the Effects of Anti-VEGF Drugs on Ovarian Cancer from Histopathology Images

Abstract: Anti-vascular endothelial growth factor (anti-VEGF) therapy, such as Bevacizumab, treats colorectal, lung, kidney and breast cancer patients. In 2018, it was approved for treating ovarian ...
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 ...