Feature Map
خريطة السمات
مخرج طبقة التفافية: شبكة ثنائية الأبعاد تمثّل كل خلية فيها تنشيط (وجود) سمة مُتعلَّمة في ذلك الموقع المكاني.
The output of a convolutional layer: a 2D grid where each cell represents the activation (presence) of a learned feature at that spatial location.
Also translated asالمخطط الدلالي للطبقة، خريطة الخصائص المُستخرَجة، مصفوفة الخصائص المكانية، مصفوفة السمات
First appears in this corpus in: Neocognitron: A Self-Organizing Neural Network Model for Pattern Recognition (1980)
Appears in these papers
- ImageNet Classification with Deep Convolutional Neural Networks2012in the sky ✦
- Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift2015in the sky ✦
- Microsoft COCO: Common Objects in Context2014in the sky ✦
- Gradient-Based Learning Applied to Document Recognition1998in the sky ✦
- Gradient-Based Learning Applied to Document Recognition1998in the sky ✦
- Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks2015in the sky ✦
- DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs2017in the sky ✦
- DeepLab: Semantic Image Segmentation with Deep Convolutional Nets, Atrous Convolution, and Fully Connected CRFs2017in the sky ✦
- Deformable Convolutional Networks2017in the sky ✦
- Deformable Convolutional Networks2017in the sky ✦
- Densely Connected Convolutional Networks2017in the sky ✦
- Densely Connected Convolutional Networks2017in the sky ✦
- Dropout: A Simple Way to Prevent Neural Networks from Overfitting2014in the sky ✦
- EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks2019in the sky ✦
- EfficientNet: Rethinking Model Scaling for Convolutional Neural Networks2019in 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 ✦
- Fully Convolutional Networks for Semantic Segmentation2015in the sky ✦
- Feature Pyramid Networks for Object Detection2017in the sky ✦
- Feature Pyramid Networks for Object Detection2017in 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 ✦
- Highway Networks2015in the sky ✦
- Histograms of Oriented Gradients for Human Detection2005in the sky ✦
- Quo Vadis, Action Recognition? A New Model and the Kinetics Dataset2017in the sky ✦
- Mask R-CNN2017in the sky ✦
- MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications2017in the sky ✦
- MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications2017in the sky ✦
- Neocognitron: A Self-Organizing Neural Network Model for Pattern Recognition1980in the sky ✦
- Neocognitron: A Self-Organizing Neural Network Model for Pattern Recognition1980in the sky ✦
- Progressive Growing of GANs for Improved Quality, Stability, and Variation2018in the sky ✦
- RAFT: Recurrent All-Pairs Field Transforms for Optical Flow2020in the sky ✦
- RAFT: Recurrent All-Pairs Field Transforms for Optical Flow2020in the sky ✦
- Unsupervised Representation Learning by Predicting Image Rotations2018in the sky ✦
- Unsupervised Representation Learning by Predicting Image Rotations2018in the sky ✦
- RT-1: Robotics Transformer for Real-World Control at Scale2022in the sky ✦
- Segment Anything2023in the sky ✦
- Squeeze-and-Excitation Networks2018in 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 ✦
- 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 ✦
- A Style-Based Generator Architecture for Generative Adversarial Networks2019in the sky ✦
- A Style-Based Generator Architecture for Generative Adversarial Networks2019in the sky ✦
- Analyzing and Improving the Image Quality of StyleGAN2020in the sky ✦
- Analyzing and Improving the Image Quality of StyleGAN2020in the sky ✦
- Swin Transformer: Hierarchical Vision Transformer Using Shifted Windows2021in the sky ✦
- U-Net: Convolutional Networks for Biomedical Image Segmentation2015in the sky ✦
- Very Deep Convolutional Networks for Large-Scale Image Recognition2014in the sky ✦
- Very Deep Convolutional Networks for Large-Scale Image Recognition2014in the sky ✦
- End-to-End Training of Deep Visuomotor Policies2016in the sky ✦
- You Only Look Once: Unified, Real-Time Object Detection2015in the sky ✦
- YOLOv3: An Incremental Improvement2018in the sky ✦