Convolutions
Transposed convolution
Introduced by Shelhamer et al. in Fully Convolutional Networks for Semantic SegmentationPapers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| Semantic Segmentation | 7 | 14.29% |
| Instance Segmentation | 4 | 8.16% |
| Super-Resolution | 3 | 6.12% |
| Image Reconstruction | 2 | 4.08% |
| Image Segmentation | 2 | 4.08% |
| Object Detection | 2 | 4.08% |
| Texture Synthesis | 2 | 4.08% |
| Image Super-Resolution | 2 | 4.08% |
| Computational Efficiency | 2 | 4.08% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
