| # LPIFM VIFB baseline — inference defaults (Hub companion) | |
| # Full training / architecture config lives on GitHub: | |
| # https://github.com/HaoranLiu507/LPIFM/blob/main/configs/release_inference.yaml | |
| model: | |
| backbone: ConvNeXt-V2 # timm: convnextv2_base.fcmae_ft_in22k_in1k_384 | |
| image_size: 384 | |
| inference: | |
| # Ternary decode: d_cal = d / T_cal | |
| # d_cal > t → A better (0) | |
| # d_cal < -t → B better (1) | |
| # otherwise → Tie (2) | |
| tie_threshold_t: 0.3 | |
| calibration_temperature_Tcal: 1.0 | |