Controllable Image Generation Based on Causal Representation Learning
Newswise — A study led by researchers from Chongqing University published a research paper in Frontiers of Information Technology & Electronic Engineering,...
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Leveraging machine learning techniques for image classification and revealing social media insights into human engagement with urban wild spaces
This research aims to explore human engagement with urban wild spaces by leveraging the vast amount of human-generated data available...
Polarimetric image recovery method with domain-adversarial learning for underwater imaging
DatasetAccording to the basic underwater imaging physical model described in Eq. (1)17, the light intensity \({\text{I}}\left( {{\text{x}},{\text{~y}}} \right)\) captured by the...
Deep Learning for Outlier Detection on Tabular and Image Data | by W Brett Kennedy | Jan, 2025
The challenges and promises of deep learning for outlier detection, including self-supervised learning techniques29 min read·16 hours agoIn the last...
Deep learning methods for high-resolution microscale light field image reconstruction: A survey
REVIEW article Front. Bioeng. Biotechnol. Sec. Biosensors and Biomolecular Electronics Volume 12 - 2024 | doi: 10.3389/fbioe.2024.1500270 This article is...
Color-adjusting technique for histopathology image datasets could help empower machine-learning-based diagnostic tools
Tissue image datasets processed by stained SAN (bottom row) achieve color distributions that are more consistent than those processed using...
