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flip_axis_to_depth

Syntologyentry name in harvested coderead from the graph 2026-09-24

flip_axis_to_depth appears in the code Syntology harvested for 9 papers, as 2 distinct code bodies found in 9 places (a place is one code body under one paper). At least one of them ran in 1 of the papers; 1 of the code bodies carries a behaviour fingerprint.

What this page is not. Routines are grouped here by the exact string of their function or class name. Nothing asserts that two samples named flip_axis_to_depth do the same thing, share code, or are comparable; the name is a string, not an identity. Behaviour outputs (what a fingerprinted sample returned on the shared battery) are not in this export and are not shown here; the graph at syntology.ai holds them. "Ran" means executed on a synthesized fixture, not that the code is correct or reproduces a paper.

Samples Syntology

Syntology ran 1 of the 2 distinct code bodies named flip_axis_to_depth; 1 is unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
0ran · our draft was wrong
0ran · fixture could not drive it
1ran
1unverified
1fingerprinted

Licence is a property of each copy, so it is counted per place: 2 of the 9 places are pointer only (Syntology does not serve that copy's text). This site shows no code text for any sample; every row below links to the file in its repository where the record names one.

“Ran” means the sample executed on a synthesized input; it does not mean the output is correct. “Honoured” and “violated” refer to a contract Syntology drafted from the code itself; “our draft was wrong” and “fixture could not drive it” are failures of Syntology's instrument, not of the code, and those samples did run. The ran count above is every status except unverified, the same rule as each paper page.

Papers

9 papers shown of 9, newest first; 9 places in the table. A paper with no recorded date is placed by the month its arXiv id encodes, shown in the Date column as YYYY-MM (from id). One row per place: a paper whose repository defines the name more than once appears more than once, and the same code body held for several papers appears once under each, with the same status. Titles and dates are the archive's archive 2025-07-28 for papers in the archive. Status and fingerprint are Syntology's record of each code body; licence is recorded for each place. The File cell ends with the code body's code_sha256, Syntology's identity for that exact code: an agent fetches the stored sample with Syntology's MCP tool get_code(code_sha256="…") (how to connect); click an identity to copy that call.

PaperDateFileStatus SyntologyLicence
State Space Model Meets Transformer: A New Paradigm for 3D Object Detection 18 Mar 2025 OpenSpaceAI/DEST3D/models/ap_helper.py d638b0201b9a9ece unverified MIT (permissive)
ImOV3D: Learning Open-Vocabulary Point Clouds 3D Object Detection from Only 2D Images 31 Oct 2024 yangtiming/ImOV3D/models/ap_helper.py d638b0201b9a9ece unverified MIT (permissive)
Collaborative Novel Object Discovery and Box-Guided Cross-Modal Alignment for Open-Vocabulary 3D Object Detection 2 Jun 2024 yangcaoai/CoDA_NeurIPS2023/datasets/scannet_utils.py 9ffea672391678c2 ran fingerprinted MIT (permissive)
Bridging the Gap between 2D and 3D Visual Question Answering: A Fusion Approach for 3D VQA 24 Feb 2024 matthewdm0816/bridgeqa/lib/ap_helper.py d638b0201b9a9ece unverified no licence file found · pointer only
3D-SPS: Single-Stage 3D Visual Grounding via Referred Point Progressive Selection 13 Apr 2022 fjhzhixi/3D-SPS/lib/ap_helper.py d638b0201b9a9ece unverified MIT (permissive)
TO-Scene: A Large-scale Dataset for Understanding 3D Tabletop Scenes 17 Mar 2022 GAP-LAB-CUHK-SZ/TO-Scene/obj_det/models/ap_helper.py d638b0201b9a9ece unverified MIT (permissive)
MORE: Multi-Order RElation Mining for Dense Captioning in 3D Scenes 10 Mar 2022 SxJyJay/MORE/lib/ap_helper.py d638b0201b9a9ece unverified Apache-2.0 (permissive)
SESS: Self-Ensembling Semi-Supervised 3D Object Detection 26 Dec 2019 Na-Z/sess/models/ap_helper.py d638b0201b9a9ece unverified MIT (permissive)
Deep Hough Voting for 3D Object Detection in Point Clouds 21 Apr 2019 LONG-9621/VoteNet/models/ap_helper.py d638b0201b9a9ece unverified MIT recorded; this copy not marked cleared · pointer only

This site shows no code text; each File cell links to the file on GitHub at the repository's current default branch, which may have changed since the harvest. "Pointer only" means Syntology does not serve that copy's text, for one of four reasons: no licence file was found; the licence was not identified; the licence is recorded as permissive but that copy's record is not marked cleared; or the licence is outside the permissive list Syntology serves text under (MIT, Apache-2.0, BSD and similar). Some licences outside that list permit redistribution, such as WTFPL, and GPL-3.0 under its conditions; they are simply not on the list. Hover a licence cell for the reason. Per-sample records for a paper are on its paper page under "Code Syntology ran".

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