{"id":"W2767512561","doi":"10.1016/j.inffus.2017.10.007","title":"Deep learning for pixel-level image fusion: Recent advances and future prospects","year":2017,"lang":"en","type":"article","venue":"Information Fusion","topic":"Advanced Image Fusion Techniques","field":"Engineering","cited_by":725,"is_retracted":false,"has_abstract":false,"ca_institutions":"University of British Columbia","funders":"Fundamental Research Funds for the Central Universities; National Natural Science Foundation of China","keywords":"Computer science; Pixel; Artificial intelligence; Deep learning; Fusion; Image (mathematics); Image fusion; Computer vision","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.008518233852569142,"score_gpt":0.2507800551967895,"score_spread":0.2422618213442203,"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."}}