Results 61 to 70 of about 26,920 (307)
Unsupervised Deep Cross-modality Spectral Hashing [PDF]
IEEE Transactions on Image Processing, 2020 Accepted to IEEE Transaction on Image Processing (TIP) Add ...
Tuan Hoang +3 more
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Instance-Aware Hashing for Multi-Label Image Retrieval
, 2016 Similarity-preserving hashing is a commonly used method for nearest neighbour search in large-scale image retrieval. For image retrieval, deep-networks-based hashing methods are appealing since they can simultaneously learn effective image ...
Lai, Hanjiang +4 more
core +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 +6 more
openaire +1 more source
Advanced Healthcare Materials, EarlyView.Platform system to create biofabricated 3D spinal cord tissue models: Combining high resolution PCL fiber placement, a customized, hyaluronic acid‐based hydrogel, two cell types (spinal cord neurons and astrocytes) together with three distinct laminin isoforms allow the formation of functional cell–cell network interactions.
Nicoletta Murenu +12 more
wiley +1 more source
Non-Relaxation Deep Hashing Method for Fast Image Retrieval
IEEE Access, 2023 Deep hashing methods utilize an end-to-end framework to mutually learn feature representations and hash codes, thereby achieving a better retrieval performance.
Xiaofei Li
doaj +1 more source
Variational Deep Semantic Hashing for Text Documents
, 2017 As the amount of textual data has been rapidly increasing over the past decade, efficient similarity search methods have become a crucial component of large-scale information retrieval systems.
Erin Liong V. +19 more
core +1 more source
Deep Class-Wise Hashing: Semantics-Preserving Hashing via Class-Wise Loss [PDF]
IEEE Transactions on Neural Networks and Learning Systems, 2020 Deep supervised hashing has emerged as an influential solution to large-scale semantic image retrieval problems in computer vision. In the light of recent progress, convolutional neural network based hashing methods typically seek pair-wise or triplet labels to conduct the similarity preserving learning.
Xuefei Zhe, Shifeng Chen, Hong Yan
openaire +3 more sources
Advanced Materials, EarlyView.A PVA‐based macromolecular thiol‐ene formulation enables efficient two‐photon polymerization at extremely low polymer concentrations and high writing speeds of 400 mm s−1 (20×), allowing high‐fidelity laser writing of cell‐interactive hydrogel structures on demand.
Wanwan Qiu +6 more
wiley +1 more source
Deep Binary Representation for Efficient Image Retrieval
Advances in Multimedia, 2017 With the fast growing number of images uploaded every day, efficient content-based image retrieval becomes important. Hashing method, which means representing images in binary codes and using Hamming distance to judge similarity, is widely accepted for ...
Xuchao Lu +4 more
doaj +1 more source