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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
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