Results 41 to 50 of about 1,457 (180)

Deep Supervised Hashing Based on Stable Distribution

IEEE Access, 2019
Recently, the convolutional neural network (CNN)-based hashing method has achieved its promising performance for image retrieval. However, tackling the discrepancy between quantization error minimization and discriminability maximization of the network ...
Lei Wu, Hefei Ling, Ping Li, Jiazhong Chen, Yang Fang, Fuhao Zhou   +5 more
doaj   +1 more source

Deep Hashing Based on Class-Discriminated Neighborhood Embedding

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020
Deep-hashing methods have drawn significant attention during the past years in the field of remote sensing (RS) owing to their prominent capabilities for capturing the semantics from complex RS scenes and generating the associated hash codes in an end-to-
Jian Kang, Ruben Fernandez-Beltran, Zhen Ye, Xiaohua Tong, Antonio Plaza   +4 more
doaj   +1 more source

Deep Contrastive Self-Supervised Hashing for Remote Sensing Image Retrieval

Remote Sensing, 2022
Hashing has been widely used for large-scale remote sensing image retrieval due to its outstanding advantages in storage and search speed. Recently, deep hashing methods, which produce discriminative hash codes by building end-to-end deep convolutional ...
Xiaoyan Tan, Yun Zou, Ziyang Guo, Ke Zhou, Qiangqiang Yuan   +4 more
doaj   +1 more source

Deep Supervised Hashing for Fast Multi-Label Image

MATEC Web of Conferences, 2018
In this paper, most of the existing Hashing methods is mapping the hand extracted features to binary code, and designing the loss function with the label of images.
Ying Qian, Qingqing Ye
doaj   +1 more source

Pairwise Context Similarity for Image Retrieval System Using Variational Auto-Encoder

IEEE Access, 2021
Deep-learning-to-hash models have recently achieved several breakthroughs enabling a fast and efficient image retrieval system. As supervision for deep-learning-to-hash models, pairwise label similarity which considers two images to be identical if their
Hyeongu Yun, Yongil Kim, Taegwan Kang, Kyomin Jung   +3 more
doaj   +1 more source

Balanced Deep Supervised Hashing

Computers, Materials & Continua, 2019
Recently, Convolutional Neural Network (CNN) based hashing method has achieved its promising performance for image retrieval task. However, tackling the discrepancy between quantization error minimization and discriminability maximization of network outputs simultaneously still remains unsolved.
Hefei Ling, Yang Fang, Lei Wu, Ping Li, Jiazhong Chen, Fuhao Zou, Jialie Shen   +6 more
openaire   +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

Asymmetric Deep Supervised Hashing

Proceedings of the AAAI Conference on Artificial Intelligence, 2018
Hashing has been widely used for large-scale approximate nearest neighbor search because of its storage and search efficiency. Recent work has found that deep supervised hashing can significantly outperform non-deep supervised hashing in many applications. However, most existing deep supervised hashing methods adopt a symmetric strategy
Jiang, Qing-Yuan, Li, Wu-Jun
openaire   +2 more sources

Dorsal Raphe VIP Neurons Are Critical for Survival‐Oriented Vigilance

Advanced Science, EarlyView.
DRNVIP neurons in mice and primates are strategically positioned to influence the central extended amygdala via feedback loops. They regulate the excitability of PKC‐δ neurons in the ovBNST and CeA through glutamate release. Their ablation heightens activity in these regions, disrupts active‐phase sleep architecture, enhances risk assessment behaviors ...
Adriane Guillaumin, Emma Perrot, Thibault Dhellemmes, Laura Boi, Daniel De Castro Medeiros, Christelle Glangetas, Sylvie Dumas, Sandra Dovero, Nathalie Biendon, Elodie Ladeveze, Maëlle Hardel, Marc Landry, Erwan Bezard, Jérôme Baufreton, Gilberto Fisone, François Georges   +15 more
wiley   +1 more source

Accelerating Primary Screening of USP8 Inhibitors from Drug Repurposing Databases with Tree‐Based Machine Learning

Advanced Intelligent Discovery, EarlyView.
This study introduces a tree‐based machine learning approach to accelerate USP8 inhibitor discovery. The best‐performing model identified 100 high‐confidence repurposable compounds, half already approved or in clinical trials, and uncovered novel scaffolds not previously studied. These findings offer a solid foundation for rapid experimental follow‐up,
Yik Kwong Ng, Sharon Ai Er Lam, Wei Chun Lim, Hannah Hui Min Toh, Shi Jun Ang   +4 more
wiley   +1 more source