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Jun 13, 2024 · These models, like OpenAI's CLIP, are already trained to recognize many visual patterns. They can do various tasks, like image classification, object detection, ...
Missing: Saliency DCNN.
3 days ago · Saeid Abbassi et.al. 2404.15445, null. 2024-04-23, A review of deep learning-based information fusion techniques for multimodal medical image classification ...
6 days ago · Learn how Google MediaPipe helps you quickly develop and deploy machine learning models using an easy-to-use framework. | Encord.
Missing: Saliency DCNN.
May 28, 2024 · They employed Neural Style Transfer (NST) to generate high-quality images with a fixed camera style from the egocentric ones. A content loss ensures that ...
Missing: DCNN. | Show results with:DCNN.
Jun 14, 2024 · ... transfer framework that combines limited, style-labeled motion data with large-scale, unlabeled motion data to achieve style transfer for arbitrary motion ...
Missing: DCNN. | Show results with:DCNN.
Jun 10, 2024 · Professor of Machine Learning ; School/Department: Computing and Mathematic Sciences, School of ; Telephone: +44 (0)116 252 5295 ; Email: hz143@leicester.ac.uk.
Missing: DCNN. | Show results with:DCNN.
6 days ago · Conclusion We developed a novel deeply supervised deep learning‐based approach with a group dilated convolution to automatically segment the MRI prostate, ...
4 days ago · Our model integrates the road structure feature using a predefined image map created using LiDAR without annotation. ... Using Petri Nets As an Integrated ...
Missing: DCNN. | Show results with:DCNN.
4 hours ago · Secondly, we transfer the synthetic image style to real image style by constructing a cycle-consistent adversarial network while preserving their content.
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Jun 14, 2024 · [NLP-82] Exploring Fact Memorization and Style Imitation in LLMs Using ... images for specific subject from arbitrary testing image in a zero-shot manner.