Image Model Blocks
Inception-B
Introduced by Szegedy et al. in Inception-v4, Inception-ResNet and the Impact of Residual Connections on LearningInception-B 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 | 25.00% |
| Image Classification | 3 | 15.00% |
| Lesion Segmentation | 2 | 10.00% |
| Meta-Learning | 2 | 10.00% |
| Fine-Grained Image Classification | 1 | 5.00% |
| Fine-Grained Image Recognition | 1 | 5.00% |
| Medical Image Segmentation | 1 | 5.00% |
| Semantic Segmentation | 1 | 5.00% |
| Speech Recognition | 1 | 5.00% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
1x1 Convolution
|
Convolutions | |
Average Pooling
|
Pooling Operations | |
Convolution
|
Convolutions |
