LRR-4X
UC IrvineSemantic segmentationOpen weights
The LRR-4X model is an open-weights semantic segmentation model from UC Irvine with 138000000.0 parameters.
About LRR-4X
CNN architectures have terrific recognition performance but rely on spatial pooling which makes it difficult to adapt them to tasks that require dense, pixel-accurate labeling. This paper makes two contributions: (1) We demonstrate that while the app
Details
- Provider
- UC Irvine
- Task
- Semantic segmentation
- Parameters
- 138000000.0
- Released
- 2016-05-08
- Open weights
- Yes