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1781
Video Summarization Generation Based on Graph Structure Reconstruction
Published 2023-11-01“…To address this issue, this paper proposes a video summary generation model based on graph structure reconstruction (VOGNet), in which the model first adopts a variational graph auto-encoders (VGAE) to reconstruct the graph structure to remove redundant information in the graph structure; followed by using the reconstructed graph structure in a graph attention network (GAT), allocating different weights to different shot features in the neighborhood; and lastly, in order to avoid the loss of information during the training of the model, a feature fusion approach is proposed to combine the training obtained shot features with the original shot features as the shot features for generating the summary. …”
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1782
Efficient sampling in fragment-based protein structure prediction using an estimation of distribution algorithm.
Published 2013-01-01“…In this paper we present EdaFold(AA), a fragment-based approach which shares information between the generated models and steers the search towards native-like regions. …”
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1783
A Generative Approach to Person Reidentification
Published 2024-02-01“…In this way we decouple the identity of the individual from any other information relative to a specific instance (pose, background, etc.), allowing interesting transformations from one identity to another. As generative models, we use the recent diffusion models that have already proven their sensibility to conditioning in many different contexts. …”
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1784
Brain tumor segmentation using synthetic MR images - A comparison of GANs and diffusion models
Published 2024-02-01“…Our conclusion is that sharing synthetic medical images is a viable option to sharing real images, but that further work is required. The trained generative models and the generated synthetic images are shared on AIDA data hub.…”
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1785
Decoding Methods in Neural Language Generation: A Survey
Published 2021-08-01“…This survey paper provides an overview of the different ways of implementing decoding on top of neural network-based generation models. Research into decoding has become a real trend in the area of neural language generation, and numerous recent papers have shown that the choice of decoding method has a considerable impact on the quality and various linguistic properties of the generation output of a neural NLG system. …”
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1786
An Organismal Perspective on the Warburg Effect and Models for Proliferation Studies
Published 2023-03-01“…Such organisms are prime candidates for general studies of proliferation in multicellular organisms and could at least complement the short-generation models of modern biology.…”
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1787
Synthbuster: Towards Detection of Diffusion Model Generated Images
Published 2024-01-01“…In this context, the present corpus of synthetic image detection techniques, primarily focusing on older generative models like Generative Adversarial Networks, finds itself ill-equipped to deal with this emerging trend. …”
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1788
RepNet: A Lightweight Human Pose Regression Network Based on Re-Parameterization
Published 2023-08-01“…The prediction performance is also improved by the output of the maximum likelihood model and the reversible transformation of the underlying distribution learned by the flow generation model. RepNet achieves a recognition accuracy of 66.1 AP on the COCO dataset, at a computational speed of 15 ms on GPU and 40 ms on CPU. …”
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1789
View Synthesis with Scene Recognition for Cross-View Image Localization
Published 2023-03-01“…To tackle this issue, this work proposes a novel view synthesis framework equipped with deep generative models, which can merge the unique features from the outdated reference dataset with features from the images containing seasonal changes. …”
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1790
Comparative Evaluation of VAEs, VAE-GANs and AAEs for Anomaly Detection in Network Intrusion Data
Published 2023-12-01“…This study provides a comparative evaluation of deep generative models for detecting anomalies in network intrusion data. …”
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1791
A Metaverse: Taxonomy, Components, Applications, and Open Challenges
Published 2022-01-01“…With the technological development of deep learning-based high-precision recognition models and natural generation models, Metaverse is being strengthened with various factors, from mobile-based always-on access to connectivity with reality using virtual currency. …”
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1792
Fault Diagnostics for Turbo-Shaft Engine Sensors Based on a Simplified On-Board Model
Published 2012-08-01“…The simplified turbo-shaft model contains the gas generator model and the power turbine model with loads, this is built up via dynamic parameters method. …”
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1793
INCO-GAN: Variable-Length Music Generation Method Based on Inception Model-Based Conditional GAN
Published 2021-02-01“…At present, the research on music generation via deep learning can be divided into two categories: predictive models and generative models. However, both categories have the same problems that need to be resolved. …”
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1794
The power of artistic challenges (On the 70th birth anniversary of Professor A.M. Sayapova)
Published 2018-02-01“…It is based on the cornerstone thesis that the meaning-generating model of Russian classical literature has not exhausted itself, and, therefore, any weighted judgment about it is of a complementary nature. …”
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1795
LP-BT: A location privacy protection algorithm based on ball trees
Published 2023-01-01“…Experimental results on public dataset manifest that our model is superior to other models such as random selection model and path-based fake location generation model in terms of privacy protection level, user density and anonymization time overhead.…”
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1796
COMPAS-2: a dataset of cata-condensed hetero-polycyclic aromatic systems
Published 2024-01-01“…High-throughput screening and generative models that can help to identify new molecules to advance these technologies require large amounts of high-quality data, which is expensive to generate. …”
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1797
Flow Field Reconstruction of 2D Hypersonic Inlets Based on a Variational Autoencoder
Published 2023-09-01“…In recent years, artificial intelligence techniques have been used to improve the efficiency of aerodynamic optimization. Deep generative models, such as variational autoencoder (VAE) and generative adversarial network (GAN), have been used in a variety of flow problems in the last two years, making fast reconstruction and prediction of the full flow field possible. …”
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1798
Risk Aversion, Managerial Reputation, and Debt–Equity Conflict
Published 2022-03-01“…Using the overlapping generations model, this paper shows that managerial reputation building can partially resolve the debt–equity conflict and improve efficiency in both economies; however, such improvement is larger in the entrepreneurial economy.…”
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1799
Inferring effective couplings with restricted Boltzmann machines
Published 2024-04-01“…Generative models offer a direct way of modeling complex data. …”
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1800
Image-Range Stitching and Semantic-Based Crack Detection Methods for Tunnel Inspection Vehicles
Published 2023-10-01“…Consequently, we introduce a method that employs a bidirectional heuristic search approach, utilizing randomly generated seed pixels as hints to locate targets that concurrently appear in both the image and the image semantic generation model. The results reveal the potential for cooperation between laser-scanning and camera-imaging technologies and point out a novel approach of crack detection that appears to be more focused on semantic understanding.…”
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