TinyCaracalFormer: a lightweight frequency-domain hybrid model for steel surface defect inspection
Manual inspection in steel production suffers from low efficiency and unstable accuracy, while standard Transformer models are limited by quadratic self-attention complexity and mandatory positional encoding. This work constructs a unified two-stage steel defect detection framework with dual convolutional neural networ...