Swin Transformer - Edgentiq

MSCloudCAM: A New Approach to Cloud Detection in Multispectral Satellite Data

AUREXA-SE: A Bimodal Approach to Speech Enhancement

Barlow-Swin: A New Lightweight Architecture for Real-Time Medical Image Segmentation

Advanced AI Model Enhances Forest Carbon Stock Estimation with Satellite Imagery

Deep Learning on Mobile Images: A Step Towards Accessible Skin Disease Diagnosis

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Synthetic Power: Boosting Vision Transformers with Generated Data and Challenging Contrasts

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SKGE-Swin: A New Approach to Autonomous Vehicle Navigation with Enhanced Context Awareness

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The Loupe Module: Boosting Accuracy and Interpretability in Fine-Grained Visual Classification

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AI Breakthrough: Vision Transformers Accurately Detect Child Engagement in Learning Environments

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VQ-DeepISC: Enhancing Image Transmission with Semantic Understanding and Adaptive Digital Communication

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Robust Video Transmission: Overcoming Packet Loss with Semantic Communication

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Swin-TUNA: An Efficient AI Approach for Precise Food Image Segmentation

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Gen AI News and Updates

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MSCloudCAM: A New Approach to Cloud Detection in Multispectral Satellite Data

October 14, 2025

AUREXA-SE: A Bimodal Approach to Speech Enhancement

October 8, 2025

Barlow-Swin: A New Lightweight Architecture for Real-Time Medical Image Segmentation

September 10, 2025