| Parameter-Efficient Fine-Tuning in Spectral Domain for Point Cloud Learning |
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10 Oct 2024 |
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| OpenDlign: Open-World Point Cloud Understanding with Depth-Aligned Images |
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25 Apr 2024 |
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| Mamba3D: Enhancing Local Features for 3D Point Cloud Analysis via State Space Model |
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23 Apr 2024 |
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| Point Cloud Mamba: Point Cloud Learning via State Space Model |
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1 Mar 2024 |
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| ShapeLLM: Universal 3D Object Understanding for Embodied Interaction |
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27 Feb 2024 |
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| Uni3D: Exploring Unified 3D Representation at Scale |
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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 |
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19 May 2023 |
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| ULIP-2: Towards Scalable Multimodal Pre-training for 3D Understanding |
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14 May 2023 |
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| Instance-aware Dynamic Prompt Tuning for Pre-trained Point Cloud Models |
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14 Apr 2023 |
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| Self-positioning Point-based Transformer for Point Cloud Understanding |
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29 Mar 2023 |
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| Point2Vec for Self-Supervised Representation Learning on Point Clouds |
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29 Mar 2023 |
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| Parameter is Not All You Need: Starting from Non-Parametric Networks for 3D Point Cloud Analysis |
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14 Mar 2023 |
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| Contrast with Reconstruct: Contrastive 3D Representation Learning Guided by Generative Pretraining |
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5 Feb 2023 |
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| Learning 3D Representations from 2D Pre-trained Models via Image-to-Point Masked Autoencoders |
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13 Dec 2022 |
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| ULIP: Learning a Unified Representation of Language, Images, and Point Clouds for 3D Understanding |
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10 Dec 2022 |
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| PointCLIP V2: Prompting CLIP and GPT for Powerful 3D Open-world Learning |
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21 Nov 2022 |
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| Rethinking the compositionality of point clouds through regularization in the hyperbolic space |
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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 |
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4 Aug 2022 |
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| PointNeXt: Revisiting PointNet++ with Improved Training and Scaling Strategies |
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9 Jun 2022 |
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| PointVector: A Vector Representation In Point Cloud Analysis |
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21 May 2022 |
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| Surface Representation for Point Clouds |
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11 May 2022 |
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| APP-Net: Auxiliary-point-based Push and Pull Operations for Efficient Point Cloud Classification |
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2 May 2022 |
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| Masked Autoencoders for Point Cloud Self-supervised Learning |
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13 Mar 2022 |
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| CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding |
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1 Mar 2022 |
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| Rethinking Network Design and Local Geometry in Point Cloud: A Simple Residual MLP Framework |
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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 |
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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 |
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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 |
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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 |
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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 |
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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 |
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24 Jan 2018 |
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| Attention Is All You Need |
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12 Jun 2017 |
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| PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space |
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7 Jun 2017 |
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| PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation |
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2 Dec 2016 |
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