Results 41 to 50 of about 38,951,336 (344)
Sensors, 2022 Brain decoding is a process of decoding human cognitive contents from brain activities. However, improving the accuracy of brain decoding remains difficult due to the unique characteristics of the brain, such as the small sample size and high ...
Takaaki Higashi +3 more
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A Hierarchical Transformation-Discriminating Generative Model for Few Shot Anomaly Detection [PDF]
IEEE International Conference on Computer Vision, 2021 Anomaly detection, the task of identifying unusual samples in data, often relies on a large set of training samples. In this work, we consider the setting of few-shot anomaly detection in images, where only a few images are given at training. We devise a
Shelly Sheynin, Sagie Benaim, Lior Wolf
semanticscholar +1 more source
IEEE Access, 2023 This paper tackles the electron microscope image processing for rubber material discovery. In rubber material science fields, electron microscope images are used to observe the properties of materials during their development process. Hence, by analyzing
Rintaro Yanagi +4 more
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Generative Model based Highly Efficient Semantic Communication Approach for Image Transmission [PDF]
IEEE International Conference on Acoustics, Speech, and Signal Processing, 2022 Deep learning (DL) based semantic communication methods have been explored to transmit images efficiently in recent years. In this paper, we propose a generative model based semantic communication to further improve the efficiency of image transmission ...
Tian Han +5 more
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Advanced Science, 2023 A multimodal deep‐learning (MDL) framework is presented for predicting physical properties of a ten‐dimensional acrylic polymer composite material by merging physical attributes and chemical data.
Shun Muroga, Yasuaki Miki, Kenji Hata
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RAFT: Reward rAnked FineTuning for Generative Foundation Model Alignment [PDF]
Trans. Mach. Learn. Res., 2023 Generative foundation models are susceptible to implicit biases that can arise from extensive unsupervised training data. Such biases can produce suboptimal samples, skewed outcomes, and unfairness, with potentially serious consequences.
Hanze Dong +7 more
semanticscholar +1 more source
De Novo Molecule Design Through Molecular Generative Model Conditioned by 3D Information of Protein Binding Sites [PDF]
, 2020 De novo molecule design through molecular generative model is gaining increasing attention in recent years. Here a novel generative model was proposed by integrating the 3D structural information of the protein binding pocket into the conditional RNN ...
Ting, Ran, Mingyuan, Xu, Hongming, Chen
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StylePeople: A Generative Model of Fullbody Human Avatars [PDF]
Computer Vision and Pattern Recognition, 2021 We propose a new type of full-body human avatars, which combines parametric mesh-based body model with a neural texture. We show that with the help of neural textures, such avatars can successfully model clothing and hair, which usually poses a problem ...
A. Grigorev +6 more
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CLAY: A Controllable Large-scale Generative Model for Creating High-quality 3D Assets [PDF]
ACM Transactions on GraphicsIn the realm of digital creativity, our potential to craft intricate 3D worlds from imagination is often hampered by the limitations of existing digital tools, which demand extensive expertise and efforts.
Longwen Zhang +8 more
semanticscholar +1 more source
A generative model for music transcription [PDF]
, 2006 In this paper, we present a graphical model for polyphonic music transcription. Our model, formulated as a dynamical Bayesian network, embodies a transparent and computationally tractable approach to this acoustic analysis problem.
Barber, D. +5 more
core +2 more sources