{"id":"W4366352791","doi":"10.1109/tpami.2023.3268446","title":"Dual Vision Transformer","year":2023,"lang":"en","type":"article","venue":"IEEE Transactions on Pattern Analysis and Machine Intelligence","topic":"Advanced Neural Network Applications","field":"Computer Science","cited_by":157,"is_retracted":false,"has_abstract":true,"ca_institutions":"Toronto Metropolitan University","funders":"","keywords":"Computer science; Artificial intelligence; Transformer; Computational complexity theory; Pixel; Computation; Semantics (computer science); Feature extraction; Exploit; Theoretical computer science; Algorithm","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":[0.0001515102,0.0001819925,0.0002190008,0.0005475625,0.0002812074,0.0000919706,0.000346594,0.00005036662,0.00008071751],"category_scores_gemma":[0.000001398525,0.0001581092,0.0002023387,0.003090496,0.00005775452,0.00029426,0.000003828662,0.0002190833,0.0002219575],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.00001823597,"about_ca_system_score_gemma":0.0000089673,"about_ca_topic_candidate":false,"about_ca_topic_consensus":false,"about_ca_topic_score_codex":0.0001138032,"about_ca_topic_score_gemma":0.0004345737,"domain_scores_codex":[0.9985946,0.00004303317,0.0002988392,0.0005383219,0.0002557131,0.0002695153],"domain_scores_gemma":[0.9991094,0.0001634165,0.00005495315,0.000501652,0.00004137507,0.0001292301],"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":[0.000003771332,0.00006004192,0.00005965669,0.000004730232,0.0001258425,0.000007735171,0.0001708311,0.06765708,0.0008459766,0.0003031008,0.00003236019,0.9307289],"study_design_scores_gemma":[0.0001118426,0.000162128,0.002035427,0.00001552493,0.0002580484,0.00001643071,0.00003462403,0.850171,0.1437858,0.002041214,0.0009677685,0.0004001539],"study_design_candidate":"design_other","study_design_consensus":null,"genre_codex":"methods","genre_gemma":"empirical","genre_scores_codex":[0.002793582,0.0000323364,0.9948973,0.001589753,0.0001246291,0.0001326468,0.00002460553,0.0003035908,0.0001015497],"genre_scores_gemma":[0.9969036,0.0006741685,0.001520918,0.0003976572,0.00001786076,0.0000493144,0.000007605344,0.00001113269,0.0004177701],"genre_candidate":"empirical","genre_consensus":null,"teacher_disagreement_score":0.99411,"threshold_uncertainty_score":0.6447505,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.02259482272062165,"score_gpt":0.2986789647305413,"score_spread":0.2760841420099197,"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."}}