v1.3.0 - TBTFormer

TBTFormer with Boundary Distribution Regression

New Features

• TBTFormer meta-arch: probabilistic boundary prediction for noisy annotations
• Distribution Focal Loss (DFL): learns over discrete boundary bins
• BDR Head: predicts distribution instead of scalar offsets

Configuration

model:
  meta_arch: "TBTFormer"
  fpn_type: "cs_fpn"
  reg_max: 16
  dfl_weight: 0.25

Backward compatible with existing configs.