Electronics For You

When Intelligence Moves To The Edge AI Studio

What happens when intelligence moves off the cloud and onto the device? Edge AI Studio cuts latency, improves performance, ...
GitHub

[ICCV 2025] D³QE: Learning Discrete Distribution Discrepancy-aware Quantization Error for Autoregressive-Generated Image Detection

Integrates dynamic codebook frequency statistics into a transformer attention module. Fuses semantic image features with latent representations of quantization ...
GitHub

CapRL: Stimulating Dense Image Caption Capabilities via Reinforcement Learning

We are excited to release the CapRL 2.0 series: CapRL-Qwen3VL-2B and CapRL-Qwen3VL-4B. These models feature fewer parameters while delivering even more powerful captioning performance. Notably, ...
IEEE

Comprehensive Framework for Tuberculosis Detection Using Deep Learning and Image Processing in Whole-Slide Images

Abstract: Tuberculosis (TB), caused by Mycobacterium tuberculosis (MTb), remains one of the leading causes of death globally, primarily affecting the lungs. Recent technological advancements have ...
IEEE

Modern Deep Learning Techniques for Big Medical Data Processing in Cloud

Abstract: The recent advancements in Machine Learning (ML) and Deep Learning (DL) provide a new dimension in biomedical big data analysis, while the cloud computing technologies present the ...
Frontiers

Image-text guided fundus vessel segmentation via attention mechanism and gated residual learning

Background: Fundus vessel segmentation is crucial for the early diagnosis of ocular diseases. However, existing deep learning-based methods, although effective for detecting coarse vessels, still face ...