Results 21 to 30 of about 10,164 (194)
Region-DH: Region-based Deep Hashing for Multi-Instance Aware Image Retrieval [PDF]
, 2020 This paper introduces an instance-aware hashing approach Region-DH for large-scale multi-label image retrieval. The accurate object bounds can significantly increase the hashing performance of instance features.
Mtope, Franck Romuald Fotso, Wei, Bo
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IEEE Access, 2019 With the rapid growth of multimedia data (e.g., image, audio, and video) on the Web, the learning-based hashing techniques, such as deep supervised hashing, have proven to be very efficient for large-scale multimedia search.
Zhan Yang +3 more
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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
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Simultaneous Feature Learning and Hash Coding with Deep Neural Networks [PDF]
, 2015 Similarity-preserving hashing is a widely-used method for nearest neighbour search in large-scale image retrieval tasks. For most existing hashing methods, an image is first encoded as a vector of hand-engineering visual features, followed by another ...
Lai, Hanjiang +3 more
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A Review of Hashing Methods for Multimodal Retrieval
IEEE Access, 2020 With the advent of the information age, the amount of multimedia data has exploded. That makes fast and efficient retrieval in multimodal data become an urgent requirement.
Wenming Cao +4 more
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Sensors, 2021 Recently, with the popularization of camera tools such as mobile phones and the rise of various short video platforms, a lot of videos are being uploaded to the Internet at all times, for which a video retrieval system with fast retrieval speed and high ...
Hanqing Chen +6 more
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Deep Self-Taught Hashing for Image Retrieval [PDF]
, 2019 Hashing algorithm has been widely used to speed up image retrieval due to its compact binary code and fast distance calculation. The combination with deep learning boosts the performance of hashing by learning accurate representations and complicated ...
Liu, Li +6 more
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SUBIC: A supervised, structured binary code for image search [PDF]
, 2017 For large-scale visual search, highly compressed yet meaningful representations of images are essential. Structured vector quantizers based on product quantization and its variants are usually employed to achieve such compression while minimizing the ...
Gribonval, Rémi +3 more
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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
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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 +3 more
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