Backbone Architectures
ConvNeXt
Introduced by Liu et al. in A ConvNet for the 2020sPapers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| Image Classification | 29 | 12.95% |
| Semantic Segmentation | 26 | 11.61% |
| Object Detection | 16 | 7.14% |
| Classification | 10 | 4.46% |
| Decoder | 8 | 3.57% |
| Instance Segmentation | 6 | 2.68% |
| Image Segmentation | 5 | 2.23% |
| Autonomous Driving | 4 | 1.79% |
| Medical Image Segmentation | 4 | 1.79% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
