Inference Engines
MNN
Introduced by Jiang et al. in MNN: A Universal and Efficient Inference EngineMobile Neural Network (MNN) is a mobile inference engine tailored to mobile applications. The contributions of MNN include: (1) presenting a mechanism called pre-inference that manages to conduct runtime optimization; (2) delivering thorough kernel optimization on operators to achieve optimal computation performance; (3) introducing backend abstraction module which enables hybrid scheduling and keeps the engine lightweight.
Source: MNN: A Universal and Efficient Inference Engine
Papers
| Paper | Code | Results | Date | Stars |
|---|
Tasks
| Task | Papers | Share |
|---|---|---|
| Color Manipulation | 1 | 25.00% |
| Image Enhancement | 1 | 25.00% |
| Photo Retouching | 1 | 25.00% |
| Tone Mapping | 1 | 25.00% |
Usage Over Time
Components
| Component | Type |
|
|---|---|---|
| 🤖 No Components Found | You can add them if they exist; e.g. Mask R-CNN uses RoIAlign |
