{"id":"W4414199133","doi":"10.1109/cvprw67362.2025.00172","title":"ActNAS: Generating Efficient YOLO Models Using Activation NAS","year":2025,"lang":"en","type":"article","venue":"","topic":"Context-Aware Activity Recognition Systems","field":"Computer Science","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"Deep River Science Academy","funders":"","keywords":"Activation function; Leverage (statistics); Inference; Artificial neural network; Deep neural networks; Function (biology)","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":"metacan-v3-hybrid-931329e0061c","candidate_categories":[],"consensus_categories":[],"category_scores_codex":[0.0003114598,0.001053357,0.0005408466,0.0003986425,0.0002585262,0.0007856584,0.001481817,0.000828726,0.005091483],"category_scores_gemma":[0.00207885,0.000500046,0.0008378524,0.0002773574,0.0003609785,0.0008861113,0.0006592445,0.001242324,0.001590539],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.0005774276,"about_ca_system_score_gemma":0.001252561,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.006764171,"about_ca_topic_score_gemma":0.01833998,"domain_scores_codex":[0.9998653,0.00003104369,0.000006976007,0.00004205727,0.00003095822,0.0000236118],"domain_scores_gemma":[0.9995944,0.0002222967,0.00002689068,0.00005845938,0.00007701911,0.00002100255],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"simulation_or_modeling","study_design_gemma":"simulation_or_modeling","study_design_scores_codex":[0.0001786063,0.00005576669,0.001746534,0.000156771,0.00007793435,0.00009112474,0.00007773987,0.9064407,0.006471096,0.008039922,0.007998234,0.06866556],"study_design_scores_gemma":[0.00000741123,0.000009426237,0.00003409667,0.000004700332,0.000004009239,0.000005204644,0.000006939609,0.9970273,0.0009233397,0.001483909,0.0004913878,0.00000233476],"study_design_candidate":"simulation_or_modeling","study_design_consensus":"simulation_or_modeling","genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.08073321,0.0007152839,0.8911868,0.000543575,0.0002071804,0.0001275731,0.001334419,0.01863979,0.0065121],"genre_scores_gemma":[0.6022372,0.0003655684,0.3817147,0.0005785571,0.00008224198,0.0005399927,0.003325203,0.00247822,0.008678274],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.006764171,"threshold_uncertainty_score":0.01703274,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.0612386703587275,"score_gpt":0.2921252175464666,"score_spread":0.2308865471877391,"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."}}