Methods › Computer Vision › Point Cloud Representations › BTF

Back to the Feature

BTF

2 papers tagged archive 2025-07-28

Introduced by Eliahu Horwitz et al. in Back to the Feature: Classical 3D Features are (Almost) All You Need for 3D Anomaly Detection

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

The archive carries no description for this method.

Paper Source

Papers archive 2025-07-28

2 shown of 2, 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.

NeuBTF: Neural fields for BTF encoding and transfer
3 Jul 2023 · 0 repositories · arXiv:2307.01199
Back to the Feature: Classical 3D Features are (Almost) All You Need for 3D Anomaly Detection
10 Mar 2022 · 1 repository · arXiv:2203.05550

Syntology ran 1 of 9 samples · 8 unverified · 1 pointer-only (licence)

Tasks archive 2025-07-28

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

Task	Papers
3D Anomaly Detection	1
3D Anomaly Detection and Segmentation	1
All	1
Anomaly Detection	1
Depth Anomaly Detection and Segmentation	1
Neural Rendering	1
RGB+3D Anomaly Detection and Segmentation	1
RGB+Depth Anomaly Detection and Segmentation	1

Usage over time archive 2025-07-28

Papers per year the archive tags with this method, by the paper's archive date (2 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

Point Cloud Representations

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections