{"id":"W1987208657","doi":"10.1109/ccece.2014.6901097","title":"Camouflaged target detection using real-time video fusion algorithm based on multi-scale transforms","year":2014,"lang":"en","type":"article","venue":"","topic":"Advanced Image Fusion Techniques","field":"Engineering","cited_by":2,"is_retracted":false,"has_abstract":true,"ca_institutions":"Concordia University","funders":"","keywords":"Computer science; Thresholding; Artificial intelligence; Image fusion; Wavelet transform; Fusion; Computer vision; Algorithm; Pattern recognition (psychology); Image (mathematics); Object detection; Wavelet","routes":{"ca_aff":true,"ca_fund":false,"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":[0.0002422667,0.000254135,0.0002343633,0.0002035237,0.0001337443,0.0000270933,0.0001175549,0.0001528998,0.0003685169],"category_scores_gemma":[0.00002780181,0.0002278177,0.00009169086,0.0002246382,0.00002782234,0.0002408523,0.00001428924,0.0002149838,0.00007336128],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0001569355,"about_ca_system_score_gemma":0.000007783515,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00009555976,"about_ca_topic_score_gemma":0.00002164195,"domain_scores_codex":[0.9988669,0.00004401513,0.0002788236,0.0002739568,0.000219001,0.0003173325],"domain_scores_gemma":[0.9994187,0.00006378996,0.00003237367,0.0003273037,0.00004996209,0.000107914],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"bench_or_experimental","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.00001054807,0.00002943095,0.000006031268,0.00002055546,0.000002839512,0.000001556922,0.0000338481,0.02695909,0.8493617,7.543288e-7,0.0000780413,0.1234957],"study_design_scores_gemma":[0.0002928668,0.00005512557,0.00008124278,0.00002271087,0.000004682192,0.000001888383,0.000006777558,0.5364981,0.4621481,0.00004032623,0.0006814648,0.0001666719],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.02120642,0.000004885416,0.9714257,0.00001436125,0.0001554386,0.0003393804,0.000008732044,0.002532315,0.00431274],"genre_scores_gemma":[0.2217856,0.00001388241,0.7775398,0.0000749602,0.0001059684,0.00002998973,0.00001741213,0.00009571733,0.0003366034],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.509539,"threshold_uncertainty_score":0.9290137,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.006719907205483841,"score_gpt":0.2256804565514333,"score_spread":0.2189605493459495,"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."}}