{"id":"W3089605395","doi":"10.1109/icra40945.2020.9197205","title":"Keypoint Description by Descriptor Fusion Using Autoencoders","year":2020,"lang":"en","type":"article","venue":"","topic":"Advanced Image and Video Retrieval Techniques","field":"Computer Science","cited_by":6,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Alberta","funders":"","keywords":"Artificial intelligence; Computer science; Design for manufacturability; Benchmark (surveying); Matching (statistics); Pattern recognition (psychology); Fusion; Computer vision; Mathematics; Engineering","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":[0.00009360912,0.0001273277,0.0001274783,0.00003886531,0.0001109273,0.0001555762,0.0004416618,0.00005078602,0.00004483385],"category_scores_gemma":[0.00006426654,0.0001123028,0.00005565985,0.000388121,0.00002949221,0.001416294,0.0002350164,0.0001150083,0.00003676629],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00006317189,"about_ca_system_score_gemma":0.00003360347,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.00003473597,"about_ca_topic_score_gemma":5.707624e-7,"domain_scores_codex":[0.9989728,0.00003506056,0.0001912118,0.0003593441,0.0002163774,0.0002252523],"domain_scores_gemma":[0.999473,0.00001429547,0.00005999699,0.0002346515,0.00006526824,0.0001527838],"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":[0.00001986085,0.00005402685,0.000200973,0.0000237622,0.000009391539,0.00001836999,0.0007321031,0.0000957181,0.8624704,0.008812592,0.05020271,0.07736008],"study_design_scores_gemma":[0.0002199468,0.0002152552,0.000038985,0.00001959553,0.000005343354,0.00001093155,0.00006473422,0.5563218,0.4058559,0.004789266,0.03216077,0.0002974469],"study_design_candidate":"bench_or_experimental","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"methods","genre_scores_codex":[0.001841447,0.0001750627,0.9942366,0.001578281,0.0001094033,0.0001448064,0.000001235623,0.000885783,0.001027315],"genre_scores_gemma":[0.1313719,0.00005117258,0.8641015,0.004258645,0.00004926234,0.000003361414,0.000002251128,0.00001143985,0.0001504212],"genre_candidate":"methods","genre_consensus":"methods","teacher_disagreement_score":0.5562261,"threshold_uncertainty_score":0.4579574,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05823477658281342,"score_gpt":0.2708809070627875,"score_spread":0.2126461304799741,"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."}}