Convolutional Neural Networks
ZFNet
Introduced by Zeiler et al. in Visualizing and Understanding Convolutional NetworksZFNet is a classic convolutional neural network. The design was motivated by visualizing intermediate feature layers and the operation of the classifier. Compared to AlexNet, the filter sizes are reduced and the stride of the convolutions are reduced.
Source: Visualizing and Understanding Convolutional Networks
Papers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| General Classification | 3 | 30.00% |
| Image Classification | 2 | 20.00% |
| COVID-19 Diagnosis | 1 | 10.00% |
| Active Learning | 1 | 10.00% |
| Object Detection | 1 | 10.00% |
| Object Recognition | 1 | 10.00% |
| Video Quality Assessment | 1 | 10.00% |
Convolution
Dense Connections
Dropout
Local Contrast Normalization
Max Pooling
ReLU
Softmax
