different base models problem

cardwing / Codes-for-Lane-Detection

Learning Lightweight Lane Detection CNNs by Self Attention Distillation (ICCV 2019)

MIT License

1.04k stars 333 forks source link

different base models problem #179

Closed CynthiaLai closed 5 years ago

CynthiaLai commented 5 years ago

Hello, Cardwing I want to confirm if all your code shared, different directories ( ENet-BDD100K-Torch, ENet-Label-Torch, ENet-TuSimple-Torch, ERFNet-CULane-PyTorch, SCNN-Tensorflow ) means you tried to use different backbones all contained SAD on different datasets? thank you!

cardwing commented 5 years ago

Currently, only ENet-Label-Torch contains the SAD module. However, you can easily add this module to other base models.