Datasets › ScanObjectNN

ScanObjectNN

Introduced by Mikaela Angelina Uy et al. in Revisiting Point Cloud Classification: A New Benchmark Dataset and Classification Model on Real-World Data1 Jan 2019 archive 2025-07-28

ScanObjectNN is a newly published real-world dataset comprising of 2902 3D objects in 15 categories. It is a challenging point cloud classification datasets due to the background, missing parts and deformations.

Source: A Self Contour-based Rotation and Translation-Invariant Transformation for Point Clouds Recognition Image Source: https://hkust-vgd.github.io/scanobjectnn/

Benchmarks archive 2025-07-28

All 6 leaderboards whose dataset resolves to this page shown (sort by any header). "First row" is the archive's own first row at snapshot, in the archive's row order; nothing here re-ranks and metric direction is not asserted.

Papers archive 2025-07-28

30 shown of 79 papers with a leaderboard row on this dataset's benchmarks, newest first. The archive's own "papers using this dataset" list was never published, so this is the benchmark-backed subset; the archive's count for this dataset is 337. The Syntology column is from Syntology's graph (read 2026-09-24), stated per sample; it is not part of any archive number.

DateSamples run Syntology
Asymmetric Dual Self-Distillation for 3D Self-Supervised Representation Learning 1 2 26 Jun 2025 not harvested
AdaCrossNet: Adaptive Dynamic Loss Weighting for Cross-Modal Contrastive Point Cloud Learning 1 1 2 Jan 2025 not harvested
Rethinking Masked Representation Learning for 3D Point Cloud Understanding 1 1 26 Dec 2024 not harvested
Point-GN: A Non-Parametric Network Using Gaussian Positional Encoding for Point Cloud Classification 1 1 4 Dec 2024 not harvested
Beyond local patches: Preserving global–local interactions by enhancing self-attention via 3D point cloud tokenization 0 1 1 Nov 2024 not harvested
Parameter-Efficient Fine-Tuning in Spectral Domain for Point Cloud Learning 1 1 10 Oct 2024 ran 12 of 13 samples (1 unverified)
3D-JEPA: A Joint Embedding Predictive Architecture for 3D Self-Supervised Representation Learning 0 1 24 Sep 2024 not harvested
Positional Prompt Tuning for Efficient 3D Representation Learning 1 1 21 Aug 2024 not harvested
PCP-MAE: Learning to Predict Centers for Point Masked Autoencoders 1 1 16 Aug 2024 not harvested
GPSFormer: A Global Perception and Local Structure Fitting-based Transformer for Point Cloud Understanding 1 2 18 Jul 2024 not harvested
KPConvX: Modernizing Kernel Point Convolution with Kernel Attention 1 1 21 May 2024 not harvested
Point-JEPA: A Joint Embedding Predictive Architecture for Self-Supervised Learning on Point Cloud 1 1 25 Apr 2024 not harvested
OpenDlign: Open-World Point Cloud Understanding with Depth-Aligned Images 1 2 25 Apr 2024 ran 4 of 4 samples (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 ran 6 of 7 samples (1 unverified; 7 pointer-only for licence)
Point Cloud Mamba: Point Cloud Learning via State Space Model 2 1 1 Mar 2024 ran 1 of 11 samples (10 unverified; 11 pointer-only for licence)
ShapeLLM: Universal 3D Object Understanding for Embodied Interaction 3 2 27 Feb 2024 ran 9 of 17 samples (8 unverified)
ModelNet-O: A Large-Scale Synthetic Dataset for Occlusion-Aware Point Cloud Classification 1 1 16 Jan 2024 not harvested
OmniVec2 - A Novel Transformer based Network for Large Scale Multimodal and Multitask Learning 0 1 1 Jan 2024 not harvested
Towards Compact 3D Representations via Point Feature Enhancement Masked Autoencoders 1 1 17 Dec 2023 not harvested
OmniVec: Learning robust representations with cross modal sharing 0 1 7 Nov 2023 not harvested
Sculpting Holistic 3D Representation in Contrastive Language-Image-3D Pre-training 1 1 3 Nov 2023 ran 0 of 3 samples (3 unverified; 3 pointer-only for licence)
Uni3D: Exploring Unified 3D Representation at Scale 2 1 10 Oct 2023 ran 1 of 2 samples (1 unverified)
DualMLP: a two-stream fusion model for 3D point cloud classification 1 1 10 Oct 2023 not harvested
Regress Before Construct: Regress Autoencoder for Point Cloud Self-supervised Learning 1 1 25 Sep 2023 not harvested
Decoupled Local Aggregation for Point Cloud Learning 1 2 31 Aug 2023 not harvested
ViT-Lens: Initiating Omni-Modal Exploration through 3D Insights 1 1 20 Aug 2023 not harvested
Beyond First Impressions: Integrating Joint Multi-modal Cues for Comprehensive 3D Representation 1 1 6 Aug 2023 not harvested
Take-A-Photo: 3D-to-2D Generative Pre-training of Point Cloud Models 1 1 27 Jul 2023 not harvested
ExpPoint-MAE: Better interpretability and performance for self-supervised point cloud transformers 1 1 19 Jun 2023 not harvested
Point-LGMask: Local and Global Contexts Embedding for Point Cloud Pre-training with Multi-Ratio Masking 1 1 8 Jun 2023 not harvested

The full list of 79 is in the JSON twin.

Dataset loaders archive 2025-07-28

No loader listed in the archive.

Tasks archive 2025-07-28

License archive 2025-07-28

Custom (research-only)

Modalities archive 2025-07-28

Languages archive 2025-07-28

No language tagged.

Variants archive 2025-07-28

  • ScanObjectNN

1 variant name, as the archive lists them.

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