Results 41 to 50 of about 16,062,156 (297)
Effective Aesthetics Prediction With Multi-Level Spatially Pooled Features [PDF]
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019 We propose an effective deep learning approach to aesthetics quality assessment that relies on a new type of pre-trained features, and apply it to the AVA data set, the currently largest aesthetics database. While previous approaches miss some of the information in the original images, due to taking small crops, down-scaling or warping the originals ...
Vlad Hosu +2 more
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Personalized recommendation model with multi-level latent features
Dianxin kexue, 2022 Personalized recommendation has become one of the most effective means to solve information overload, and it is also a hot technology in the research field of massive data mining.However, traditional recommendation algorithms often only use the user’s ...
Qing SHEN +3 more
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Multi-Level Semantic Feature Augmentation for One-Shot Learning [PDF]
IEEE Transactions on Image Processing, 2019 The ability to quickly recognize and learn new visual concepts from limited samples enables humans to swiftly adapt to new environments. This ability is enabled by semantic associations of novel concepts with those that have already been learned and stored in memory.
Zitian Chen +5 more
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Multi-level Freeform Machining Feature Characterization [PDF]
Proceedings of CAD'18, 2018 During the last decades, Digital Mock-up has been intensively developed. Various information and data are generated in each step of the Digital Chain (CAD, CAM, machining process, etc.). However, these different data haven’t been well exploited, especially, in feature modelling.
Bendjebla, Soumiya +4 more
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AnimalsNamed entity recognition (NER) is the basic task of constructing a high-quality knowledge graph, which can provide reliable knowledge in the auxiliary diagnosis of dairy cow disease, thus alleviating problems of missed diagnosis and misdiagnosis due to ...
Yongjun Lou +9 more
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Multi-level navigation for curriculum planning in intelligent tutoring systems [PDF]
, 1997 This paper presents and investigates the application of multi-level planning techniques, together with meta and micro level knowledge architecture model, in building the domain knowledge, planning and navigate the curriculum of an intelligent tutoring ...
Liu, Yaowei +5 more
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Shape recognition through multi-level fusion of features and classifiers [PDF]
, 2020 Shape recognition is a fundamental problem and a special type of image classification, where each shape is considered as a class. Current approaches to shape recognition mainly focus on designing low-level shape descriptors, and classify them using some ...
Ding, Weili +7 more
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Scale Equalization for Multi-Level Feature Fusion
Trans. Mach. Learn. Res.Deep neural networks have exhibited remarkable performance in a variety of computer vision fields, especially in semantic segmentation tasks. Their success is often attributed to multi-level feature fusion, which enables them to understand both global and local information from an image.
Bum Jun Kim, Sang Woo Kim
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Point Cloud Quality Assessment Using Multi-Level Features
IEEE AccessRecently, point clouds have emerged as a promising research direction for representing 3D visual data in various immersive applications, including augmented reality, self-driving cars and so on.
Jianyu Lv +6 more
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Research on Imbalanced Microscopic Image Classification of Harmful Algae
IEEE Access, 2020 Image analysis based on biological morphological differences is an important development direction for classification and determination of planktonic algae.
Qiao Xiaoyan
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