GitHub Repo
FeyNoBg Deepens BiRefNet’s Middle Stage, Using Mixed Data to Balance Foreground Recognition and Boundary Detail
Feyn has released the 263-million-parameter FeyNoBg model and the NoBg training library, providing a unified interface for background removal, batch inference, and fine-tuning. Official comparisons show the model leading in S-measure on four of eight datasets, but omit deployment metrics such as speed, memory usage, and alpha-matte error.