Concept晚期融合 / Late Fusion
Score-level Fusion
A fusion paradigm that first computes similarity scores independently for each source and then combines them through weighted averaging, voting, or a learned fusion function. It is more robust but may lose fine-grained cross-view associations.
Timeline (last 90 days)
Oct 30
Feature-level fusion (early fusion) aggregates features from multiple sources after feature extraction and before similarity computation, preserving more detail but being sensitive to noise; score-level fusion (late fusion) first computes similarities independently and then merges them, being more robust but potentially losing cross-view association information.
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