mymani/segAll-tamper-localiser

segAll tamper localiser (trained 2026-09-22)

Document-tamper localiser: given a rendered document page image, outputs a per-pixel tamper-probability logit map. SegFormer-B2 (nvidia/mit-b2 backbone) widened from 3 to 6 input channels (RGB + 3 fixed SRM high-pass residual channels computed from luminance), num_labels=1 binary tamper-vs-clean logit map.

Usage

from transformers import SegformerForSemanticSegmentation
model = SegformerForSemanticSegmentation.from_pretrained(
    "mymani/segAll-tamper-localiser", revision="2026-09-22"
)

pixel_values must already be the 6-channel (RGB + 3 SRM residual) input described above — see the reference wrapper linked above for the exact preprocessing.