Image Model Blocks
Inception-v3 Module
Introduced by Szegedy et al. in Rethinking the Inception Architecture for Computer VisionInception-v3 Module is an image block used in the Inception-v3 architecture. This architecture is used on the coarsest (8 × 8) grids to promote high dimensional representations.
Source: Rethinking the Inception Architecture for Computer Vision
Papers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| General Classification | 15 | 19.48% |
| Image Classification | 14 | 18.18% |
| Adversarial Attack | 5 | 6.49% |
| Quantization | 4 | 5.19% |
| Semantic Segmentation | 3 | 3.90% |
| Object Detection | 2 | 2.60% |
| Image Captioning | 2 | 2.60% |
| Skin Lesion Classification | 2 | 2.60% |
| Histopathological Image Classification | 1 | 1.30% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
1x1 Convolution
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Convolutions | |
Average Pooling
|
Pooling Operations | |
Convolution
|
Convolutions |
