Face sketch synthesisConvolutional neural networksSparse codingA novel deep learning method for face sketch synthesis is proposed in this work. It builds a lightweight neural network which contains two convolutional layers, a pooling layer and a multilayer perceptron convolutional layer to learn a ...
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech) machine-translation tts speech-synthesis neural-networks deeplearning speaker-recognition asr multimodal speech-translation larg...
Understanding the role of eye movement consistency in face recognition and autism through integrating deep neural networks and hidden Markov models Janet H. Hsiao Jeehye An Antoni B. Chan npj Science of Learning(2022) A Cautionary Note on Predicting Social Judgments from Faces with Deep Neural Net...
将深度神经网络中的一些模型 进行统一的图示,便于大家对模型的理解. Contribute to XJTUeducation/AlphaTree-graphic-deep-neural-network development by creating an account on GitHub.
The contributions of the paper include: Using CNN a vision-based vehicle detection system was proposed for autonomous intelligent car driving; The architecture of CNN is designed for a vision-based vehicle detection system; The four CNN models are designed and their performances were analyzed to ...
However, the mixed features learned from CNN potentially reduce the robustness of network models for identification or classification. To address this problem, Wang et al. [27] decomposed deep face features into two orthogonal components to represent age-related and identity-related features to learn...
which are essential to study technologically relevant phenomena. Here we present the Crystal Hamiltonian Graph Neural Network (CHGNet), a graph neural network-based machine-learning interatomic potential (MLIP) that models the universal potential energy surface. CHGNet is pretrained on the energies, ...
one can still easily tell real from synthesized results. An advantage there though is that the estimated models are parametric and therefore they can be adjusted in shape and movement to support free-viewpoint rendering. For neural image synthesis, the key challenge is the lack of datasets: qual...
HIERARCHICAL STRUCTURE BASED CONVOLUTIONAL NEURAL NETWORK FOR FACE RECOGNITION In this paper, a hierarchical structure based convolutional neural network is proposed to provide the ability for robust information processing. The weight... HURIEH KHALAJZADEH,MOHAMMAD MANSOURI,MOHAMMAD TESHNEHLAB - 《Internat...
2021-JMLR-Sparsity in Deep Learning: Pruning and growth for efficient inference and training in neural networks 2021.6-Efficient Deep Learning: A Survey on Making Deep Learning Models Smaller, Faster, and Better 2022-IJCAI-Recent Advances on Neural Network Pruning at Initialization Papers [Pruning and...