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May 31, 2024 · After using the SIFT algorithm to extract image keypoints and compute feature ... Saliency Constrained Arbitrary Image Style Transfer using SIFT and DCNN.
Jun 21, 2024 · Learn how Google MediaPipe helps you quickly develop and deploy machine learning models using an easy-to-use framework. | Encord.
Missing: Saliency DCNN.
5 days ago · Dongchao Yang et.al. 2406.10056, null. 2024-06-14, Comparison of fine-tuning strategies for transfer learning in medical image classification, Ana Davila et.
Jun 14, 2024 · The methods use the images to construct offline maps and match current images with the information in these maps for localization. Matching techniques involve ...
Missing: Saliency DCNN.
Jun 21, 2024 · Using SPP-net, we compute the feature maps from the entire image only once, and then pool features in arbitrary regions (sub-images) to generate fixed-length ...
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.
Jun 7, 2024 · 332--344 Huiyu Zhou and Yuan Yuan and Chunmei Shi Object tracking using SIFT ... Image style disentangling for instance-level facial attribute transfer ??
Missing: DCNN. | Show results with:DCNN.
6 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.
8 days ago · Conclusion We developed a novel deeply supervised deep learning‐based approach with a group dilated convolution to automatically segment the MRI prostate, ...
3 days ago · Secondly, we transfer the synthetic image style to real image style by constructing a cycle-consistent adversarial network while preserving their content.
Missing: DCNN. | Show results with:DCNN.