Methods › General › Neural Architecture Search › Computation Redistribution

Computation Redistribution

1 paper tagged archive 2025-07-28

archive 2025-07-28 Description, source and code snippet are the archive's method entry.

Computation Redistribution is an neural architecture search method for face detection, which reallocates the computation between the backbone, neck and head of the model based on a predefined search methodology. Directly utilising the backbone of a classification network for scale-specific face detection can be sub-optimal. Therefore, network structure search is used to reallocate the computation on the backbone, neck and head, under a wide range of flop regimes. The search method is applied to RetinaNet, with ResNet as backbone, Path Aggregation Feature Pyramid Network (PAFPN) as the neck and stacked 3 × 3 convolutional layers for the head. While the general structure is simple, the total number of possible networks in the search space is unwieldy. In the first step, the authors explore the reallocation of the computation within the backbone parts (i.e. stem, C2, C3, C4, and C5), while fixing the neck and head components. Based on the optimised computation distribution on the backbone they find, they further explore the reallocation of the computation across the backbone, neck and head.

Source: Sample and Computation Redistribution for Efficient Face...

Papers archive 2025-07-28

1 shown of 1, newest first. Repository counts are the archive's code-links table. A Syntology line states what Syntology ran from that paper's harvested code; it is per sample and not a correctness claim.

Tasks archive 2025-07-28

1 task the archive attaches to papers tagged with this method, by distinct papers. A task without a page in the catalog is plain text.

TaskPapers
Face Detection1

Usage over time archive 2025-07-28

Papers per year tagged with Computation Redistribution: 2021 to 2021, peak 1 1 0 2021: 1 paper 2021
Papers per year the archive tags with this method, by the paper's archive date (1 dated). Bars are counts, not a trend claim.

Components: the archive holds no method-to-method composition, so PwC's Components table cannot be rebuilt; the Papers list carries no Results column for the same reason (the archive does not join its leaderboard rows to method tags).

Categories archive 2025-07-28

Neural Architecture Search

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