{"id":"W4413146570","doi":"10.1109/cvpr52734.2025.00446","title":"PIAD: Pose and Illumination agnostic Anomaly Detection","year":2025,"lang":"en","type":"article","venue":"","topic":"Anomaly Detection Techniques and Applications","field":"Computer Science","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Simon Fraser University","funders":"Research and Development; Natural Sciences and Engineering Research Council of Canada; China Scholarship Council; Google","keywords":"Computer science; Anomaly detection; Artificial intelligence; Computer vision","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0000803834,0.00005641616,0.00005076865,0.0001333981,0.0001499552,0.00008114977,0.0001482472,0.0000413504,0.00000838345],"category_scores_gemma":[0.00002296381,0.00005374468,0.00001903478,0.0004115937,0.00002572436,0.0002165806,0.00008999249,0.00004853254,0.0000123977],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00002338211,"about_ca_system_score_gemma":0.00001404068,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00007252234,"about_ca_topic_score_gemma":0.00003007986,"domain_scores_codex":[0.9995441,0.00001347583,0.0001038111,0.0002048179,0.00005357791,0.00008017048],"domain_scores_gemma":[0.999633,0.00004569559,0.00002806226,0.0002149279,0.00005216122,0.0000262109],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"bench_or_experimental","study_design_scores_codex":[0.000001957979,0.00004293233,0.0004515131,0.00001123206,0.000007437628,8.300643e-7,0.00007039552,0.000004990869,0.02191422,0.3825655,0.0007619064,0.5941671],"study_design_scores_gemma":[0.0004976297,0.000275143,0.1188687,0.00003542373,0.00002742986,0.00004875945,0.0001202281,0.1337963,0.5972829,0.09358478,0.05499633,0.0004663306],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.04276522,0.00003822808,0.944692,0.001025297,0.00007942956,0.0001352578,3.146658e-7,0.0003914592,0.01087283],"genre_scores_gemma":[0.9798742,0.00002176331,0.01776394,0.0003383365,0.00001362362,0.0000485136,4.180905e-7,0.000002019282,0.001937163],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.937109,"threshold_uncertainty_score":0.2191644,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.004164404903054871,"score_gpt":0.2312955809466936,"score_spread":0.2271311760436388,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}