Aug 2, 2018 · Directly utilizing the results of fully connected layers of convolutional neural networks (CNNs) is one of the best feature extraction methods.
Sep 5, 2018 · ABSTRACT Semantic-based image retrieval plays an important role in many practical applications, which aims to look for images with similar ...
Mar 15, 2021 · We present a novel deep discriminative feature learning methods for cross-modal semantics understanding named Deep Discriminant Semantic Joint Hashing(DDSJH).
Discriminative local features obtained from activations of convolutional neural networks have proven to be essential for image retrieval.
Dec 14, 2024 · This paper explores the discriminative information of convolutional neural networks to introduce a local fine target detector. It can highlight ...
In the second scheme, a multi-task learning network structure is proposed, to force learning-based features to be more discriminative, with inter-class ...
4 days ago · This strategy enhances feature consistency between sketches and photos by freezing the classifiers and optimizing the feature encoder. Extensive ...
Two effective schemes for generating discriminative features for CBRSIR are proposed and the comparison of the results demonstrate that the proposed schemes ...
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What is semantic based image retrieval?
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Feature Learning based Deep Supervised Hashing with Pairwise Labels, Wu ... Deep Semantic Ranking Based Hashing for Multi-Label Image Retrieval, Fang ...
They are excel- lent benchmarks for face recognition in image and video. ... Discriminative deep metric learning for face verification in the wild. In ...