Results 71 to 80 of about 26,920 (307)

Deep Cooperative Enhancement Hashing Network for Low-Resolution Image Retrieval

IEEE Access, 2020
In recent years, deep learning of hash codes for fast image retrieval have achieved excellent performance. Although the off-the-shelf methods achieve promising performance on images of good quality, their performances may degrade greatly on image of low ...
Feng Dai, Lei Wang, Xiaobin Zhu, Haisheng Li, Qiang Cai   +4 more
doaj   +1 more source

Foundation Model‐Enabled Multimodal Deep Learning for Prognostic Prediction in Colorectal Cancer with Incomplete Modalities: A Multi‐Institutional Retrospective Study

Advanced Science, EarlyView.
FLARE, a multimodal AI framework, combines pathology slides, radiology scans, and clinical reports to predict colorectal cancer outcomes, even when some tests are missing. Evaluated retrospectively in 1679 patients from four medical centers, it consistently achieved the best prognostic accuracy and clearly separated high‐ and low‐risk groups.
Linhao Qu, Chengsheng Zhang, Yingyong Hou, Feng Tang, Weiqi Sheng, Dan Huang, Zhijian Song   +6 more
wiley   +1 more source

Fine-grained similarity semantic preserving deep hashing for cross-modal retrieval

Frontiers in Physics, 2023
Cross-modal hashing methods have received wide attention in cross-modal retrieval owing to their advantages in computational efficiency and storage cost.
Guoyou Li, Qingjun Peng, Dexu Zou, Jinyue Yang, Zhenqiu Shu   +4 more
doaj   +1 more source

Hashing as Tie-Aware Learning to Rank

, 2018
Hashing, or learning binary embeddings of data, is frequently used in nearest neighbor retrieval. In this paper, we develop learning to rank formulations for hashing, aimed at directly optimizing ranking-based evaluation metrics such as Average Precision
Bargal, Sarah Adel, Cakir, Fatih, He, Kun, Sclaroff, Stan   +3 more
core   +1 more source

Neuroprotective Effects of Time‐Restricted Feeding Combined With Different Protein Sources in MPTP‐Induced Parkinson's Disease Mice Model and Its Modulatory Impact on Gut Microbiota Metabolism

Advanced Science, EarlyView.
Time‐restricted feeding (TRF) exerts protein‐dependent neuroprotective effects in an MPTP‐induced Parkinson's disease model. In casein‐fed mice, TRF improves gut barrier integrity and reduces neuroinflammation, possibly via modulation of Allobaculum and BCAAs.
Ting Li, Jian Wu, Sheng‐Yang Zhou, Ming‐An Li, Li‐Ping Zhao, Ao Wang, Yi‐Zhi Song, Wen‐Yan Huang, Lu‐Lu Tan, Chen‐Meng Qiao, Wei‐Jiang Zhao, Chun Cui, Yan‐Qin Shen   +12 more
wiley   +1 more source

DMCH: A Deep Metric and Category-Level Semantic Hashing Network for Retrieval in Remote Sensing

Remote Sensing, 2023
The effectiveness of hashing methods in big data retrieval has been proved due to their merit in computational and storage efficiency. Recently, encouraged by the strong discriminant capability of deep learning in image representation, various deep ...
Haiyan Huang, Qimin Cheng, Zhenfeng Shao, Xiao Huang, Liyuan Shao   +4 more
doaj   +1 more source

Neural Fields for Highly Accelerated 2D Cine Phase Contrast MRI

Advanced Science, EarlyView.
ABSTRACT 2D cine phase contrast (CPC) MRI provides quantitative information on blood velocity and flow within the human vasculature. However, data acquisition is time‐consuming, motivating the reconstruction of the velocity field from undersampled measurements to reduce scan times. In this work, neural fields are proposed as a continuous spatiotemporal
Pablo Arratia, Martin J. Graves, Mary McLean, Carolin Pirkl, Carola‐Bibiane Schönlieb, Timo Schirmer, Florian Wiesinger, Matthias J. Ehrhardt   +7 more
wiley   +1 more source

Deep parameter-free attention hashing for image retrieval

Scientific Reports, 2022
Deep hashing method is widely applied in the field of image retrieval because of its advantages of low storage consumption and fast retrieval speed.
Wenjing Yang, Liejun Wang, Shuli Cheng
doaj   +1 more source

Hashing based Answer Selection

, 2019
Answer selection is an important subtask of question answering (QA), where deep models usually achieve better performance. Most deep models adopt question-answer interaction mechanisms, such as attention, to get vector representations for answers.
Li, Wu-Jun, Xu, Dong
core   +1 more source

Deep Lifelong Cross-Modal Hashing

IEEE Transactions on Circuits and Systems for Video Technology
Hashing methods have made significant progress in cross-modal retrieval tasks with fast query speed and low storage cost. Among them, deep learning-based hashing achieves better performance on large-scale data due to its excellent extraction and representation ability for nonlinear heterogeneous features. However, there are still two main challenges in
Liming Xu, Hanqi Li, Bochuan Zheng, Weisheng Li, Jiancheng Lv   +4 more
openaire   +2 more sources