Datasets › SemanticKITTI-C › Papers where code ran, page 1

SemanticKITTI-C

Papers archive 2025-07-28

papers with a benchmark row: 17 · with a code link: 16 · where Syntology ran a sample: 9 (8 with a run with no instrument failure, 1 where every run was a failure of Syntology's instrument) Syntology

Show: all papers with a benchmark rowonly where code ran (9 of 17 with a benchmark row: 8 with a run with no instrument failure, 1 where every run was a failure of Syntology's instrument)

Syntology We ran code from the paper's repository; we did not run it on this dataset or check it against this dataset's benchmarks.

Page 1 of 1: papers 1 to 9 of the 9 papers with a benchmark row here where Syntology ran at least one harvested sample (8 with a run with no instrument failure, 1 where every run was a failure of Syntology's instrument), newest first by the archive's date (ties by arXiv id). This is a filter on Syntology's record ordered by date only, not a ranking; a run is not a correctness claim. A paper missing from this list is not a recorded non-run: it may have no arXiv id, no harvested code, or only samples that have not run yet.

The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset, not that list; the archive's count for this dataset is 26. The Syntology column is from Syntology's graph, stated per sample; it is not part of any archive number. A line reads “N ran (of which C constructed an object rather than computing a result; K with no instrument failure: H honoured, V violated, P with no contract checked; I where Syntology's instrument failed) · U unverified” (C is a part of N, never taken away from it); the figure “where Syntology's instrument failed” counts failures of Syntology's instrument, not of the code. “Ran” means the sample executed on a synthesized fixture, not that the paper's result was reproduced. When the archive marks a repository official for the paper, the cell starts with that repository's state (the archive's flag, not a verdict on who wrote the code; “community repositories only” when every sample that ran came from a community repository, “official: no sample here; runs from other or unrecorded repositories” when some came from a repository the paper names or has in its text, or from none recorded); hover it for the repositories the samples that ran came from. Syntology's record for this page has not changed since , the first build that kept a record date for it; when this build read Syntology's graph is in the build record.

PaperCodeResultsDateSamples run Syntology
Using a Waffle Iron for Automotive Point Cloud Semantic Segmentation 1 1 24 Jan 2023 official (archive's flag): 5 ran · 5 ran (of which 5 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 0 violated, 5 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified; every one of the 5 samples that ran constructed an object rather than computing a result (5 pointer-only for licence)
CPGNet: Cascade Point-Grid Fusion Network for Real-Time LiDAR Semantic Segmentation 3 1 21 Apr 2022 community repositories only · 4 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified
Searching Efficient 3D Architectures with Sparse Point-Voxel Convolution 6 2 31 Jul 2020 official (archive's flag): 2 ran · 2 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 0 honoured, 0 violated, 2 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified
PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation 4 1 31 Mar 2020 official (archive's flag): 2 ran · 11 ran (of which 0 constructed an object rather than computing a result; 8 with no instrument failure: 0 honoured, 3 violated, 5 with no contract checked; 3 where Syntology's instrument failed) · 0 unverified (1 pointer-only for licence)
SalsaNext: Fast, Uncertainty-aware Semantic Segmentation of LiDAR Point Clouds for Autonomous Driving 5 1 7 Mar 2020 official (archive's flag): 4 ran · 8 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 4 where Syntology's instrument failed) · 3 unverified (1 pointer-only for licence)
4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks 8 2 18 Apr 2019 community repositories only · 1 ran (of which 0 constructed an object rather than computing a result; 0 with no instrument failure: 0 honoured, 0 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 1 unverified (2 pointer-only for licence)
KPConv: Flexible and Deformable Convolution for Point Clouds 10 1 18 Apr 2019 official (archive's flag): 4 ran · 9 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 1 honoured, 0 violated, 4 with no contract checked; 4 where Syntology's instrument failed) · 3 unverified (3 pointer-only for licence)
SqueezeSegV2: Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud 1 1 22 Sep 2018 4 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 0 violated, 4 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified
SqueezeSeg: Convolutional Neural Nets with Recurrent CRF for Real-Time Road-Object Segmentation from 3D LiDAR Point Cloud 5 1 19 Oct 2017 6 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 0 violated, 6 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified