Image Model Blocks
Reduction-A
Introduced by Szegedy et al. in Inception-v4, Inception-ResNet and the Impact of Residual Connections on LearningReduction-A is an image model block used in the Inception-v4 architecture.
Source: Inception-v4, Inception-ResNet and the Impact of Residual Connections on Learning
Papers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| General Classification | 5 | 14.71% |
| Image Classification | 4 | 11.76% |
| Machine Translation | 2 | 5.88% |
| Lesion Segmentation | 2 | 5.88% |
| Meta-Learning | 2 | 5.88% |
| Fine-Grained Image Classification | 1 | 2.94% |
| Fine-Grained Image Recognition | 1 | 2.94% |
| Activity Recognition | 1 | 2.94% |
| Medical Image Segmentation | 1 | 2.94% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
1x1 Convolution
|
Convolutions | |
Convolution
|
Convolutions | |
Max Pooling
|
Pooling Operations |
