Perceiver IO
Introduced by Jaegle et al. in Perceiver IO: A General Architecture for Structured Inputs & OutputsPerceiver IO is a general neural network architecture that performs well for structured input modalities and output tasks. Perceiver IO is built to easily integrate and transform arbitrary information for arbitrary tasks.
Source: Perceiver IO: A General Architecture for Structured Inputs & Outputs
Papers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| Benchmarking | 1 | 7.69% |
| Drug Discovery | 1 | 7.69% |
| Decision Making | 1 | 7.69% |
| Speech-to-Text Translation | 1 | 7.69% |
| Translation | 1 | 7.69% |
| Graph Classification | 1 | 7.69% |
| Link Prediction | 1 | 7.69% |
| Node Classification | 1 | 7.69% |
| 3D Reconstruction | 1 | 7.69% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
