https://github.com/vision-sjtu/quadmamba
DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification
태스크의 하위 분류와 논문·코드·평가·기법·데이터셋을 탐색하세요.
Entity resolution (also known as entity matching, record linkage, or duplicate detection) is the task of finding records that refer to the same real-world entity across different data sources (e.g., data files, books, websites, and databases). (Source: Wikipedia)
Blocking is a crucial step in any entity resolution pipeline because a pair-wise comparison of all records across two data sources is infeasible. Blocking applies a computationally cheap method to generate a smaller set of candidate record pairs reducing the workload of the matcher. During matching a more expensive pair-wise matcher generates a final set of matching record pairs.
Survey on blocking:
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