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Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.04.125
Abstract: Abstract For multi-label image retrieval based on deep hashing, the ultimate challenge is to map from the original image to binary space while preserving high-level semantic similarity. Recently, many supervised deep hashing approaches for multi-label…
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Keywords:
image;
similarity;
multi label;
image retrieval ... See more keywords
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Published in 2022 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2022.3148867
Abstract: Multi-label image recognition has attracted considerable research attention and achieved great success in recent years. Capturing label correlations is an effective manner to advance the performance of multi-label image recognition. Two types of label correlations…
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Keywords:
label image;
multi label;
spatial semantic;
image recognition ... See more keywords
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Published in 2023 at "IEEE Transactions on Image Processing"
DOI: 10.1109/tip.2023.3266161
Abstract: Multi-label image classification is a fundamental but challenging task in computer vision. To tackle the problem, the label-related semantic information is often exploited, but the background context and spatial semantic information of related objects are…
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Keywords:
label image;
classification;
multi label;
image classification ... See more keywords
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Published in 2022 at "PeerJ Computer Science"
DOI: 10.7717/peerj-cs.1116
Abstract: With the popularity of wine culture and the development of artificial intelligence (AI) technology, wine label image retrieval becomes more and more important. Taking an wine label image as an input, the goal of this…
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Keywords:
retrieval;
label image;
wine label;
wine ... See more keywords