Datasets › ScanObjectNN › Papers where code ran, page 1

ScanObjectNN

Papers archive 2025-07-28

papers with a benchmark row: 79 · with a code link: 75 · where Syntology ran a sample: 34 (28 with a run with no instrument failure, 6 where every run was a failure of Syntology's instrument) Syntology

Show: all papers with a benchmark rowonly where code ran (34 of 79 with a benchmark row: 28 with a run with no instrument failure, 6 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 34 of the 34 papers with a benchmark row here where Syntology ran at least one harvested sample (28 with a run with no instrument failure, 6 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 337. 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
Parameter-Efficient Fine-Tuning in Spectral Domain for Point Cloud Learning 1 1 10 Oct 2024 official (archive's flag): 13 ran · 13 ran (of which 0 constructed an object rather than computing a result; 13 with no instrument failure: 1 honoured, 0 violated, 12 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified (2 pointer-only for licence)
OpenDlign: Open-World Point Cloud Understanding with Depth-Aligned Images 1 2 25 Apr 2024 official (archive's flag): 4 ran · 4 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 1 honoured, 0 violated, 1 with no contract checked; 2 where Syntology's instrument failed) · 0 unverified (4 pointer-only for licence)
Mamba3D: Enhancing Local Features for 3D Point Cloud Analysis via State Space Model 1 4 23 Apr 2024 official (archive's flag): 7 ran · 7 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 2 honoured, 0 violated, 4 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified (7 pointer-only for licence)
Point Cloud Mamba: Point Cloud Learning via State Space Model 2 1 1 Mar 2024 official (archive's flag): 10 ran · 10 ran (of which 0 constructed an object rather than computing a result; 10 with no instrument failure: 1 honoured, 0 violated, 9 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified (11 pointer-only for licence)
ShapeLLM: Universal 3D Object Understanding for Embodied Interaction 3 2 27 Feb 2024 official (archive's flag): 2 ran · 14 ran (of which 0 constructed an object rather than computing a result; 10 with no instrument failure: 1 honoured, 1 violated, 8 with no contract checked; 4 where Syntology's instrument failed) · 3 unverified (8 pointer-only for licence)
Uni3D: Exploring Unified 3D Representation at Scale 2 1 10 Oct 2023 official (archive's flag): 1 ran · 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
PointGPT: Auto-regressively Generative Pre-training from Point Clouds 1 1 19 May 2023 official (archive's flag): 7 ran · 7 ran (of which 0 constructed an object rather than computing a result; 6 with no instrument failure: 1 honoured, 0 violated, 5 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified (4 pointer-only for licence)
ULIP-2: Towards Scalable Multimodal Pre-training for 3D Understanding 1 3 14 May 2023 official (archive's flag): 1 ran · 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) · 0 unverified (1 pointer-only for licence)
Instance-aware Dynamic Prompt Tuning for Pre-trained Point Cloud Models 3 1 14 Apr 2023 official (archive's flag): 7 ran · 9 ran (of which 1 constructed an object rather than computing a result; 8 with no instrument failure: 0 honoured, 0 violated, 8 with no contract checked; 1 where Syntology's instrument failed) · 5 unverified (14 pointer-only for licence)
Self-positioning Point-based Transformer for Point Cloud Understanding 1 2 29 Mar 2023 official (archive's flag): 10 ran · 10 ran (of which 0 constructed an object rather than computing a result; 10 with no instrument failure: 1 honoured, 0 violated, 9 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified (9 pointer-only for licence)
Point2Vec for Self-Supervised Representation Learning on Point Clouds 1 1 29 Mar 2023 official (archive's flag): 6 ran · 6 ran (of which 0 constructed an object rather than computing a result; 5 with no instrument failure: 0 honoured, 2 violated, 3 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified (3 pointer-only for licence)
Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud Analysis 3 3 14 Mar 2023 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)
Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining 5 3 5 Feb 2023 community repositories only · 5 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 1 honoured, 0 violated, 3 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified (4 pointer-only for licence)
Learning 3D Representations from 2D Pre-trained Models via Image-to-Point Masked Autoencoders 2 1 13 Dec 2022 community repositories only · 6 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 1 honoured, 0 violated, 3 with no contract checked; 2 where Syntology's instrument failed) · 0 unverified (4 pointer-only for licence)
ULIP: Learning a Unified Representation of Language, Images, and Point Clouds for 3D Understanding 1 3 10 Dec 2022 official (archive's flag): 1 ran · 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) · 0 unverified
PointCLIP V2: Prompting CLIP and GPT for Powerful 3D Open-world Learning 2 2 21 Nov 2022 official (archive's flag): 8 ran · 8 ran (of which 0 constructed an object rather than computing a result; 4 with no instrument failure: 0 honoured, 1 violated, 3 with no contract checked; 4 where Syntology's instrument failed) · 4 unverified (4 pointer-only for licence)
Rethinking the compositionality of point clouds through regularization in the hyperbolic space 1 1 21 Sep 2022 official (archive's flag): 1 ran · 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
P2P: Tuning Pre-trained Image Models for Point Cloud Analysis with Point-to-Pixel Prompting 1 1 4 Aug 2022 official (archive's flag): 9 ran · 9 ran (of which 0 constructed an object rather than computing a result; 9 with no instrument failure: 1 honoured, 0 violated, 8 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified (2 pointer-only for licence)
PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies 3 2 9 Jun 2022 official (archive's flag): 3 ran · 10 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; 6 where Syntology's instrument failed) · 7 unverified
PointVector: A Vector Representation In Point Cloud Analysis 1 1 21 May 2022 official (archive's flag): 10 ran · 10 ran (of which 0 constructed an object rather than computing a result; 10 with no instrument failure: 1 honoured, 0 violated, 9 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified (10 pointer-only for licence)
Surface Representation for Point Clouds 1 2 11 May 2022 official (archive's flag): 13 ran · 13 ran (of which 0 constructed an object rather than computing a result; 13 with no instrument failure: 0 honoured, 0 violated, 13 with no contract checked; 0 where Syntology's instrument failed) · 2 unverified (2 pointer-only for licence)
APP-Net: Auxiliary-point-based Push and Pull Operations for Efficient Point Cloud Classification 1 1 2 May 2022 official (archive's flag): 1 ran · 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) · 0 unverified (1 pointer-only for licence)
Masked Autoencoders for Point Cloud Self-supervised Learning 4 1 13 Mar 2022 official (archive's flag): 4 ran · 9 ran (of which 1 constructed an object rather than computing a result; 6 with no instrument failure: 2 honoured, 0 violated, 4 with no contract checked; 3 where Syntology's instrument failed) · 0 unverified (7 pointer-only for licence)
CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding 1 1 1 Mar 2022 official (archive's flag): 1 ran · 1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 0 honoured, 0 violated, 1 with no contract checked; 0 where Syntology's instrument failed) · 1 unverified (2 pointer-only for licence)
Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework 1 3 15 Feb 2022 official (archive's flag): 8 ran · 10 ran (of which 6 constructed an object rather than computing a result; 6 with no instrument failure: 0 honoured, 0 violated, 6 with no contract checked; 4 where Syntology's instrument failed) · 0 unverified (2 pointer-only for licence)
PRA-Net: Point Relation-Aware Network for 3D Point Cloud Analysis 1 1 9 Dec 2021 official (archive's flag): 1 ran · 1 ran (of which 0 constructed an object rather than computing a result; 1 with no instrument failure: 1 honoured, 0 violated, 0 with no contract checked; 0 where Syntology's instrument failed) · 0 unverified
Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point Modeling 3 1 29 Nov 2021 official (archive's flag): 4 ran · 5 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 1 honoured, 0 violated, 1 with no contract checked; 3 where Syntology's instrument failed) · 1 unverified (2 pointer-only for licence)
MVTN: Multi-View Transformation Network for 3D Shape Recognition 2 1 26 Nov 2020 official (archive's flag): 3 ran · 3 ran (of which 0 constructed an object rather than computing a result; 2 with no instrument failure: 1 honoured, 1 violated, 0 with no contract checked; 1 where Syntology's instrument failed) · 0 unverified (3 pointer-only for licence)
Dense-Resolution Network for Point Cloud Classification and Segmentation 1 1 14 May 2020 official (archive's flag): 4 ran · 4 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 1 where Syntology's instrument failed) · 2 unverified
SpiderCNN: Deep Learning on Point Sets with Parameterized Convolutional Filters 1 1 30 Mar 2018 4 ran (of which 0 constructed an object rather than computing a result; 3 with no instrument failure: 0 honoured, 0 violated, 3 with no contract checked; 1 where Syntology's instrument failed) · 4 unverified (1 pointer-only for licence)
Dynamic Graph CNN for Learning on Point Clouds 21 2 24 Jan 2018 official (archive's flag): 1 ran · 16 ran (of which 5 constructed an object rather than computing a result; 7 with no instrument failure: 0 honoured, 0 violated, 7 with no contract checked; 9 where Syntology's instrument failed) · 28 unverified (31 pointer-only for licence)
Attention Is All You Need 595 1 12 Jun 2017 official: no sample here; runs from other or unrecorded repositories · 610 ran (of which 293 constructed an object rather than computing a result; 529 with no instrument failure: 45 honoured, 15 violated, 469 with no contract checked; 81 where Syntology's instrument failed) · 336 unverified (451 pointer-only for licence)
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space 68 2 7 Jun 2017 36 ran (of which 31 constructed an object rather than computing a result; 33 with no instrument failure: 0 honoured, 0 violated, 33 with no contract checked; 3 where Syntology's instrument failed) · 31 unverified (26 pointer-only for licence)
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation 110 2 2 Dec 2016 103 ran (of which 45 constructed an object rather than computing a result; 75 with no instrument failure: 0 honoured, 0 violated, 75 with no contract checked; 28 where Syntology's instrument failed) · 61 unverified (92 pointer-only for licence)