{"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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.001833259,0.00326878,0.002527906,0.003043858,0.0009852181,0.002645091,0.00541431,0.002720756,0.003106413],"category_scores_gemma":[0.007590405,0.0007573926,0.00173734,0.002713745,0.001182651,0.003231027,0.004956861,0.003590015,0.004423558],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0008741427,"about_ca_system_score_gemma":0.001708035,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00450874,"about_ca_topic_score_gemma":0.006970968,"domain_scores_codex":[0.9952729,0.0005328713,0.0002687734,0.001847281,0.001608915,0.0004691963],"domain_scores_gemma":[0.9966348,0.0006269962,0.0003506943,0.001512895,0.0006730958,0.0002016181],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"design_other","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.000915761,0.0008693472,0.02467715,0.001007021,0.0004266498,0.0006625415,0.0001751363,0.04998731,0.03304303,0.008924061,0.149801,0.729511],"study_design_scores_gemma":[0.0001259657,0.0005212858,0.01017729,0.0001091531,0.0001174768,0.003573972,0.0002272611,0.8357554,0.04511396,0.02857493,0.07556465,0.0001386374],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.05234532,0.002199272,0.8668032,0.0009077601,0.001044884,0.0006965532,0.01843044,0.05035398,0.007218707],"genre_scores_gemma":[0.2329369,0.0009124529,0.6911947,0.0008207069,0.000470721,0.0006489646,0.06499123,0.001457877,0.006566442],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.00541431,"threshold_uncertainty_score":0.01039201,"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."}}