Spatial Attention Mutual Information Regularization with a Pre-trained Model as Oracle for Lane Detection
PyTorch official implementation of SAMIRO: Spatial Attention Mutual Information Regularization with a Pre-trained Model as Oracle for Lane Detection.
Hyunjong Lee, Jangho Lee, and Jaekoo Lee.
An overview of our proposed model. Overview of the proposed approach. The approach consists of a plug-and-play regularization framework that enhances lane detection by transferring domain-agnostic spatial information from a pre-trained Oracle model via Mutual Information Regularization.
Experimental results on CULane dataset. Bold text represents the best results
This project includes code from khanrc/miro (MIT License).