{"id":"W4386075629","doi":"10.1109/cvpr52729.2023.01360","title":"Neural Fourier Filter Bank","year":2023,"lang":"en","type":"article","venue":"","topic":"Advanced Vision and Imaging","field":"Computer Science","cited_by":23,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of British Columbia","funders":"","keywords":"Computer science; Artificial neural network; Fourier transform; Grid; Perceptron; Filter (signal processing); Artificial intelligence; Wavelet; Code (set theory); Algorithm; Convergence (economics); Compact space; Pattern recognition (psychology); Computer vision; Set (abstract data type); Mathematics","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":["insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.00006028897,0.00004450853,0.00004135176,0.00005602728,0.00005293999,0.00006844972,0.0003068779,0.00000880437,0.0001531379],"category_scores_gemma":[0.00001803963,0.0000341279,0.00002571098,0.0003381993,0.000009893348,0.0004178871,0.0002200703,0.00004485219,0.001261225],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00000394523,"about_ca_system_score_gemma":0.000005739458,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.000001791343,"about_ca_topic_score_gemma":4.188108e-7,"domain_scores_codex":[0.9994982,0.000009378111,0.00006226377,0.0001554353,0.000110464,0.0001642092],"domain_scores_gemma":[0.9996313,0.00003078074,0.00001007004,0.0002656533,0.00001604387,0.00004610695],"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":[7.982442e-7,0.000007383577,0.0004170487,0.000002142558,0.000002258798,0.00003961081,0.0002051353,0.0001453413,0.0008869079,0.03308982,0.09498633,0.8702172],"study_design_scores_gemma":[0.00008689213,0.000008799711,0.002576213,0.000001934928,2.55689e-7,0.000004969688,0.00001143408,0.9291586,0.0007369222,0.005186155,0.06215843,0.0000694296],"study_design_candidate":"simulation_or_modeling","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002371428,0.00001023564,0.962695,0.01002827,0.0004589362,0.00003618028,2.25316e-7,0.0007350792,0.02366466],"genre_scores_gemma":[0.4669904,0.00001298729,0.4537,0.01247326,0.0001664319,0.00001006334,0.000002700726,0.00001658701,0.0666276],"genre_candidate":"methods","genre_consensus":null,"teacher_disagreement_score":0.9290132,"threshold_uncertainty_score":0.9995164,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02781517873776084,"score_gpt":0.2940206978117099,"score_spread":0.266205519073949,"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."}}