| license: mit | |
| library_name: pytorch | |
| tags: | |
| - video-anomaly-detection | |
| - weakly-supervised-learning | |
| - checkpoints | |
| # PACT-VAD checkpoints | |
| This repository distributes the validation-selected PACT-VAD model weights used | |
| in the accompanying controlled transfer study. | |
| - Target checkpoints: 3 datasets × 6 conditions × 10 seeds = 180 files | |
| - Source checkpoint: the fixed PreVAD temporal backbone used by the transfer runs | |
| - Selection rule: earliest epoch attaining maximum validation video AUC | |
| Source code, configurations, the canonical metric ledger, and manuscript sources: | |
| https://github.com/tastangh/PACT-VAD | |
| The checkpoint manifest records the dataset, condition, seed, selected epoch, | |
| file size, and SHA-256 digest for every target checkpoint. Dataset videos and | |
| historical feature arrays are not distributed here. | |