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Fast Voxel Query

1 paper tagged archive 2025-07-28

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

Fast Voxel Query is a module used in the Voxel Transformer 3D object detection model implementation of self-attention, specifically Local and Dilated Attention. For each querying index vᵢ, an attending voxel index vⱼ is determined by Local and Dilated Attention. Then we can lookup the non-empty index j in the hash table with hashed vⱼ as the key. Finally, the non-empty index j is used to gather the attending feature fⱼ from ℱ for multi-head attention.

Source: Voxel Transformer for 3D Object Detection

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

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

TaskPapers
3D Object Detection1
Computational Efficiency1
Object1
Object Detection1
Object Recognition1
object-detection1

Usage over time archive 2025-07-28

Papers per year tagged with Fast Voxel Query: 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

Attention Mechanisms

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