Convolutional Neural Network (CNN)
الشبكة العصبية الالتفافية
شبكات عصبية متخصصة في معالجة الصور والوسائط البصرية بالاعتماد على الفلاتر الالتفافية المكانية.
Convolutional Neural Network (CNN)
Also translated asالشبكة العصبونية البصرية، شبكات استخلاص الخصائص المكانية
First appears in this corpus in: The Organization of Behavior: A Neuropsychological Theory (1949)
Appears in these papers
- AI Safety via Debate2018in the sky ✦
- ImageNet Classification with Deep Convolutional Neural Networks2012in the sky ✦
- Mastering the Game of Go with Deep Neural Networks and Tree Search2016in the sky ✦
- Learning Representations by Back-Propagating Errors1986in the sky ✦
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift2015in the sky ✦
- Practical Bayesian Optimization of Machine Learning Algorithms2012in the sky ✦
- A Computational Approach to Edge Detection1986in the sky ✦
- Dynamic Routing Between Capsules2017in the sky ✦
- Unsupervised Visual Representation Learning by Context Prediction2015in the sky ✦
- Unsupervised Visual Representation Learning by Context Prediction2015in the sky ✦
- A ConvNet for the 2020s2022in the sky ✦
- Gradient-Based Learning Applied to Document Recognition1998in the sky ✦
- Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data2001in the sky ✦
- Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks2015in the sky ✦
- A Fast Learning Algorithm for Deep Belief Nets2006in the sky ✦
- Deep Learning2015in the sky ✦
- Deep Learning2015in the sky ✦
- Deformable Convolutional Networks2017in the sky ✦
- K-SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation2006in the sky ✦
- Diffusion Policy: Visuomotor Policy Learning via Action Diffusion2023in the sky ✦
- Diffusion Policy: Visuomotor Policy Learning via Action Diffusion2023in the sky ✦
- Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World2017in the sky ✦
- Domain Randomization for Transferring Deep Neural Networks from Simulation to the Real World2017in the sky ✦
- Human-Level Control Through Deep Reinforcement Learning2015in the sky ✦
- Dropout: A Simple Way to Prevent Neural Networks from Overfitting2014in the sky ✦
- EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks2019in the sky ✦
- Face Recognition Using Eigenfaces1991in the sky ✦
- Deep Contextualized Word Representations2018in the sky ✦
- FaceNet: A Unified Embedding for Face Recognition and Clustering2015in the sky ✦
- Fast R-CNN2015in the sky ✦
- Fast R-CNN2015in the sky ✦
- Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks2015in the sky ✦
- Fully Convolutional Networks for Semantic Segmentation2015in the sky ✦
- Explaining and Harnessing Adversarial Examples2015in the sky ✦
- Feature Pyramid Networks for Object Detection2017in the sky ✦
- Semi-Supervised Classification with Graph Convolutional Networks2017in the sky ✦
- Gaussian Error Linear Units (GELUs)2016in the sky ✦
- The Graph Neural Network Model2009in the sky ✦
- Going Deeper with Convolutions2014in the sky ✦
- Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization2017in the sky ✦
- Grad-CAM: Visual Explanations from Deep Networks via Gradient-Based Localization2017in the sky ✦
- Group Normalization2018in the sky ✦
- Delving Deep into Rectifiers: Surpassing Human-Level Performance on ImageNet Classification2015in the sky ✦
- The Organization of Behavior: A Neuropsychological Theory1949in the sky ✦
- Highway Networks2015in the sky ✦
- Histograms of Oriented Gradients for Human Detection2005in the sky ✦
- Hyperband: A Novel Bandit-Based Approach to Hyperparameter Optimization2018in the sky ✦
- Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset2017in the sky ✦
- Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset2017in the sky ✦
- ImageNet: A Large-Scale Hierarchical Image Database2009in the sky ✦
- IMPALA: Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures2018in the sky ✦
- Layer Normalization2016in the sky ✦
- Learning Dexterous In-Hand Manipulation2019in the sky ✦
- Masked Autoencoders Are Scalable Vision Learners2022in the sky ✦
- Mask R-CNN2017in the sky ✦
- Neocognitron: A Self-Organizing Neural Network Model for Pattern Recognition1980in the sky ✦
- No Free Lunch Theorems for Optimization1997in the sky ✦
- Perceiver: General Perception with Iterative Attention2021in the sky ✦
- Perceptrons: An Introduction to Computational Geometry1969in the sky ✦
- Image-to-Image Translation with Conditional Adversarial Networks2017in the sky ✦
- PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation2017in the sky ✦
- QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation2018in the sky ✦
- QT-Opt: Scalable Deep Reinforcement Learning for Vision-Based Robotic Manipulation2018in the sky ✦
- Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation2014in the sky ✦
- Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation2014in the sky ✦
- Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning1992in the sky ✦
- Deep Residual Learning for Image Recognition2015in the sky ✦
- Unsupervised Representation Learning by Predicting Image Rotations2018in the sky ✦
- Unsupervised Representation Learning by Predicting Image Rotations2018in the sky ✦
- Efficiently Modeling Long Sequences with Structured State Spaces2022in the sky ✦
- Efficiently Modeling Long Sequences with Structured State Spaces2022in the sky ✦
- SegFormer: Simple and Efficient Design for Semantic Segmentation with Transformers2021in the sky ✦
- Show and Tell: A Neural Image Caption Generator2015in the sky ✦
- Show and Tell: A Neural Image Caption Generator2015in the sky ✦
- Show, Attend and Tell: Neural Image Caption Generation with Visual Attention2015in the sky ✦
- Show, Attend and Tell: Neural Image Caption Generation with Visual Attention2015in the sky ✦
- Spatial Transformer Networks2015in the sky ✦
- Spectral Networks and Deep Locally Connected Networks on Graphs2014in the sky ✦
- SSD: Single Shot MultiBox Detector2016in the sky ✦
- SSD: Single Shot MultiBox Detector2016in the sky ✦
- Image Style Transfer Using Convolutional Neural Networks2016in the sky ✦
- Image Style Transfer Using Convolutional Neural Networks2016in the sky ✦
- Swin Transformer: Hierarchical Vision Transformer Using Shifted Windows2021in the sky ✦
- Trust Region Policy Optimization2015in the sky ✦
- Very Deep Convolutional Networks for Large-Scale Image Recognition2014in the sky ✦
- An Image Is Worth 16×16 Words: Transformers for Image Recognition at Scale2020in the sky ✦
- End-to-End Training of Deep Visuomotor Policies2016in the sky ✦
- End-to-End Training of Deep Visuomotor Policies2016in the sky ✦
- VQA: Visual Question Answering2015in the sky ✦
- VQA: Visual Question Answering2015in the sky ✦
- WaveNet: A Generative Model for Raw Audio2016in the sky ✦
- You Only Look Once: Unified, Real-Time Object Detection2015in the sky ✦