{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,29]],"date-time":"2026-05-29T02:02:23Z","timestamp":1780020143371,"version":"3.53.1"},"reference-count":53,"publisher":"Elsevier BV","license":[{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/legal\/tdmrep-license"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-017"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-012"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2026,7,1]],"date-time":"2026-07-01T00:00:00Z","timestamp":1782864000000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-004"}],"funder":[{"DOI":"10.13039\/501100002858","name":"China Postdoctoral Science Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100002858","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100004731","name":"Zhejiang Province Natural Science Foundation","doi-asserted-by":"publisher","id":[{"id":"10.13039\/501100004731","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["elsevier.com","sciencedirect.com"],"crossmark-restriction":true},"short-container-title":["Knowledge-Based Systems"],"published-print":{"date-parts":[[2026,7]]},"DOI":"10.1016\/j.knosys.2026.116246","type":"journal-article","created":{"date-parts":[[2026,5,20]],"date-time":"2026-05-20T18:00:44Z","timestamp":1779300044000},"page":"116246","update-policy":"https:\/\/doi.org\/10.1016\/elsevier_cm_policy","source":"Crossref","is-referenced-by-count":0,"special_numbering":"C","title":["ReDi-Net: Discarding redundancy and mining discriminative features for few-shot point cloud classification"],"prefix":"10.1016","volume":"346","author":[{"given":"Liu","family":"Yang","sequence":"first","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xu","family":"Liu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yangyang","family":"Zhang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Wenhang","family":"Yang","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Shouzheng","family":"Zhu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chenhui","family":"Hu","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Xin","family":"He","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Fashuai","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Chunlai","family":"Li","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Yuwei","family":"Chen","sequence":"additional","affiliation":[],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"78","reference":[{"key":"10.1016\/j.knosys.2026.116246_bib0001","series-title":"Proceedings of the European Conference on Computer Vision (ECCV)","first-page":"75","article-title":"GPSFormer: a global perception and local structure fitting-based transformer for point cloud understanding","author":"Wang","year":"2024"},{"key":"10.1016\/j.knosys.2026.116246_bib0002","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)","first-page":"4179","article-title":"GPr-Net: geometric prototypical network for point cloud few-shot learning","author":"Anvekar","year":"2023"},{"key":"10.1016\/j.knosys.2026.116246_bib0003","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2022.108769","article-title":"Cross self-attention network for 3D point cloud","volume":"247","author":"Wang","year":"2022","journal-title":"Knowl.-Based Syst."},{"key":"10.1016\/j.knosys.2026.116246_bib0004","doi-asserted-by":"crossref","first-page":"4338","DOI":"10.1109\/TPAMI.2020.3005434","article-title":"Deep learning for 3D point clouds: A survey","volume":"43","author":"Guo","year":"2020","journal-title":"IEEe Trans. Pattern. Anal. Mach. Intell."},{"key":"10.1016\/j.knosys.2026.116246_bib0005","series-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","first-page":"5828","article-title":"ScanNet: richly-annotated 3d reconstructions of indoor scenes","author":"Dai","year":"2017"},{"key":"10.1016\/j.knosys.2026.116246_bib0006","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2025.113650","article-title":"A survey of language-grounded multimodal 3D scene understanding","volume":"321","author":"Ren","year":"2025","journal-title":"Knowl.-Based Syst."},{"key":"10.1016\/j.knosys.2026.116246_bib0007","series-title":"Proceedings of the Asian Conference on Computer Vision (ACCV)","first-page":"2034","article-title":"Bringing masked autoencoders explicit contrastive properties for point cloud self-supervised learning","author":"Ren","year":"2024"},{"key":"10.1016\/j.knosys.2026.116246_bib0008","series-title":"Proceedings of the IEEE\/CVF International Conference on Computer Vision (ICCV)","first-page":"16089","article-title":"Ponder: point cloud pre-training via neural rendering","author":"Huang","year":"2023"},{"key":"10.1016\/j.knosys.2026.116246_bib0009","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)","first-page":"784","article-title":"PointOfView: A multi-modal network for few-shot 3d point cloud classification fusing point and multi-view image features","author":"Ren","year":"2024"},{"key":"10.1016\/j.knosys.2026.116246_bib0010","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2025.114369","article-title":"Enhanced prototype network with gated point recyclable feature mining for few-shot 3D point cloud classification","volume":"329","author":"Wang","year":"2025","journal-title":"Knowl.-Based Syst."},{"key":"10.1016\/j.knosys.2026.116246_bib0011","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2024.111042","article-title":"Hyperbolic prototype rectification for few-shot 3D point cloud classification","volume":"158","author":"Feng","year":"2025","journal-title":"Pattern. Recognit."},{"key":"10.1016\/j.knosys.2026.116246_bib0012","doi-asserted-by":"crossref","unstructured":"H. Zhang, H. Huang, RW-Net: enhancing few-shot point cloud classification with a wavelet transform projection-based network, arXiv preprint arXiv:2501.03221 (2025).","DOI":"10.1109\/TMM.2026.3676836"},{"key":"10.1016\/j.knosys.2026.116246_bib0013","doi-asserted-by":"crossref","first-page":"1243","DOI":"10.37188\/CJLCD.2023-0374","article-title":"Prototype distribution correction for few-shot point cloud classification","volume":"39","author":"Feng","year":"2024","journal-title":"Chin. J. Liq. Cryst. Disp."},{"key":"10.1016\/j.knosys.2026.116246_bib0014","series-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","first-page":"652","article-title":"PointNet: deep learning on point sets for 3D classification and segmentation","author":"Qi","year":"2017"},{"key":"10.1016\/j.knosys.2026.116246_bib0015","series-title":"Advances in Neural Information Processing Systems","first-page":"5105","article-title":"PointNet++: deep hierarchical feature learning on point sets in a metric space","author":"Qi","year":"2017"},{"key":"10.1016\/j.knosys.2026.116246_bib0016","first-page":"1","article-title":"Dynamic graph CNN for learning on point clouds","volume":"38","author":"Wang","year":"2019","journal-title":"ACM Trans. Graph"},{"key":"10.1016\/j.knosys.2026.116246_bib0017","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","first-page":"4840","article-title":"Point Transformer V3: simpler faster stronger","author":"Wu","year":"2024"},{"key":"10.1016\/j.knosys.2026.116246_bib0018","series-title":"Proceedings of the IEEE\/CVF Winter Conference on Applications of Computer Vision (WACV)","first-page":"1829","article-title":"What makes for effective few-shot point cloud classification?","author":"Ye","year":"2022"},{"key":"10.1016\/j.knosys.2026.116246_bib0019","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","first-page":"559","article-title":"Why discard if you can recycle?: a recycling max pooling module for 3D point cloud analysis","author":"Chen","year":"2022"},{"key":"10.1016\/j.knosys.2026.116246_bib0020","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","first-page":"17652","article-title":"ViewNet: a novel projection-based backbone with view pooling for few-shot point cloud classification","author":"Chen","year":"2023"},{"key":"10.1016\/j.knosys.2026.116246_bib0021","doi-asserted-by":"crossref","DOI":"10.1016\/j.knosys.2023.111217","article-title":"Multi-trusted cross-modal information bottleneck for 3D self-supervised representation learning","volume":"283","author":"Cheng","year":"2024","journal-title":"Knowl.-Based Syst."},{"key":"10.1016\/j.knosys.2026.116246_bib0022","series-title":"Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR)","first-page":"1912","article-title":"3D ShapeNets: a deep representation for volumetric shapes","author":"Wu","year":"2015"},{"key":"10.1016\/j.knosys.2026.116246_bib0023","series-title":"Proceedings of the IEEE\/CVF International Conference on Computer Vision (ICCV)","first-page":"1588","article-title":"Revisiting point cloud classification: a new benchmark dataset and classification model on real-world data","author":"Uy","year":"2019"},{"key":"10.1016\/j.knosys.2026.116246_bib0024","series-title":"Proceedings of the IEEE\/CVF Winter Conference on Applications of Computer Vision (WACV)","first-page":"653","article-title":"Cross-modality feature fusion network for few-shot 3D point cloud classification","author":"Yang","year":"2023"},{"key":"10.1016\/j.knosys.2026.116246_bib0025","series-title":"Advances in Neural Information Processing Systems","first-page":"68183","article-title":"Improving robustness of 3d point cloud recognition from a fourier perspective","author":"Miao","year":"2024"},{"key":"10.1016\/j.knosys.2026.116246_bib0026","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","first-page":"19779","article-title":"CausalPC: improving the robustness of point cloud classification by causal effect identification","author":"Huang","year":"2024"},{"key":"10.1016\/j.knosys.2026.116246_bib0027","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2023.109366","article-title":"A single-stage point cloud cleaning network for outlier removal and denoising","volume":"138","author":"Li","year":"2023","journal-title":"Pattern. Recognit."},{"key":"10.1016\/j.knosys.2026.116246_bib0028","series-title":"2024 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","first-page":"28035","article-title":"LTA-PCS: learnable task-agnostic point cloud sampling","author":"Liu","year":"2024"},{"key":"10.1016\/j.knosys.2026.116246_bib0029","series-title":"2020 IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","first-page":"7578","article-title":"SampleNet: differentiable point cloud sampling","author":"Lang","year":"2020"},{"key":"10.1016\/j.knosys.2026.116246_bib0030","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","first-page":"19313","article-title":"Point-BERT: pre-training 3D point cloud transformers with masked point modeling","author":"Yu","year":"2022"},{"key":"10.1016\/j.knosys.2026.116246_bib0031","series-title":"Proceedings of the European Conference on Computer Vision (ECCV)","first-page":"604","article-title":"Masked autoencoders for point cloud self-supervised learning","author":"Pang","year":"2022"},{"key":"10.1016\/j.knosys.2026.116246_bib0032","series-title":"Advances in Neural Information Processing Systems","first-page":"23192","article-title":"PointNeXt: revisiting PointNet++ with improved training and scaling strategies","author":"Qian","year":"2022"},{"key":"10.1016\/j.knosys.2026.116246_bib0033","series-title":"Proceedings of the IEEE\/CVF International Conference on Computer Vision (ICCV)","first-page":"915","article-title":"Walk in the cloud: learning curves for point clouds shape analysis","author":"Xiang","year":"2021"},{"key":"10.1016\/j.knosys.2026.116246_bib0034","series-title":"Proceedings of the International Conference on Learning Representations (ICLR)","article-title":"Rethinking network design and local geometry in point cloud: a simple residual MLP framework","author":"Ma","year":"2022"},{"key":"10.1016\/j.knosys.2026.116246_bib0035","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","first-page":"9621","article-title":"PointConv: deep convolutional networks on 3D point clouds","author":"Wu","year":"2019"},{"key":"10.1016\/j.knosys.2026.116246_bib0036","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","first-page":"5565","article-title":"PointWeb: enhancing local neighborhood features for point cloud processing","author":"Zhao","year":"2019"},{"key":"10.1016\/j.knosys.2026.116246_bib0037","doi-asserted-by":"crossref","DOI":"10.1016\/j.patcog.2023.109439","article-title":"Kernel-based feature aggregation framework in point cloud networks","volume":"139","author":"Zhang","year":"2023","journal-title":"Pattern. Recognit."},{"key":"10.1016\/j.knosys.2026.116246_bib0038","series-title":"Proceedings of the IEEE\/CVF International Conference on Computer Vision (ICCV)","first-page":"945","article-title":"Multi-view convolutional neural networks for 3D shape recognition","author":"Su","year":"2015"},{"key":"10.1016\/j.knosys.2026.116246_bib0039","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)","first-page":"699","article-title":"DepthVoting: a few-shot point cloud classification model incorporating a projection-based voting mechanism","author":"Zhu","year":"2024"},{"key":"10.1016\/j.knosys.2026.116246_bib0040","series-title":"Advances in Neural Information Processing Systems","first-page":"4080","article-title":"Prototypical networks for few-shot learning","author":"Snell","year":"2017"},{"key":"10.1016\/j.knosys.2026.116246_bib0041","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","first-page":"1199","article-title":"Learning to compare: relation network for few-shot learning","author":"Sung","year":"2018"},{"key":"10.1016\/j.knosys.2026.116246_bib0042","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","first-page":"8808","article-title":"Few-shot learning via embedding adaptation with set-to-set functions","author":"Ye","year":"2020"},{"key":"10.1016\/j.knosys.2026.116246_bib0043","series-title":"Proceedings of the International Conference on Machine Learning (ICML)","first-page":"1126","article-title":"Model-agnostic meta-learning for fast adaptation of deep networks","author":"Finn","year":"2017"},{"key":"10.1016\/j.knosys.2026.116246_bib0044","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","first-page":"10657","article-title":"Meta-learning with differentiable convex optimization","author":"Lee","year":"2019"},{"key":"10.1016\/j.knosys.2026.116246_bib0045","series-title":"Proceedings of the International Conference on Learning Representations (ICLR)","article-title":"Meta-learning with differentiable closed-form solvers","author":"Bertinetto","year":"2019"},{"key":"10.1016\/j.knosys.2026.116246_bib0046","series-title":"Proceedings of the International Conference on Machine Learning (ICML)","first-page":"11660","article-title":"Laplacian regularized few-shot learning","author":"Ziko","year":"2020"},{"key":"10.1016\/j.knosys.2026.116246_bib0047","series-title":"Advances in Neural Information Processing Systems","first-page":"2445","article-title":"Transductive information maximization for few-shot learning","author":"Boudiaf","year":"2020"},{"key":"10.1016\/j.knosys.2026.116246_bib0048","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","first-page":"1798","article-title":"Using shape to categorize: low-shot learning with an explicit shape bias","author":"Stojanov","year":"2021"},{"key":"10.1016\/j.knosys.2026.116246_bib0049","doi-asserted-by":"crossref","first-page":"772","DOI":"10.1007\/s11263-022-01731-4","article-title":"A closer look at few-shot 3D point cloud classification","volume":"131","author":"Ye","year":"2023","journal-title":"Int. J. Comput. Vis."},{"key":"10.1016\/j.knosys.2026.116246_bib0050","doi-asserted-by":"crossref","first-page":"9241","DOI":"10.1109\/TMM.2024.3387729","article-title":"CMNet: component-aware matching network for few-shot point cloud classification","volume":"26","author":"Lai","year":"2024","journal-title":"IEEE Trans. Multimed."},{"key":"10.1016\/j.knosys.2026.116246_bib0051","series-title":"Advances in Neural Information Processing Systems","first-page":"828","article-title":"PointCNN: convolution on X-transformed points","author":"Li","year":"2018"},{"key":"10.1016\/j.knosys.2026.116246_bib0052","series-title":"Proceedings of the IEEE\/CVF Conference on Computer Vision and Pattern Recognition (CVPR)","first-page":"8885","article-title":"Relation-shape convolutional neural network for point cloud analysis","author":"Liu","year":"2019"},{"key":"10.1016\/j.knosys.2026.116246_bib0053","series-title":"Proceedings of the Eurographics\/IEEE VGTC Conference on Visualization: Short Papers (EuroVis Short Papers)","first-page":"73","article-title":"Visualizing time-dependent data using dynamic t-SNE","author":"Rauber","year":"2016"}],"container-title":["Knowledge-Based Systems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S095070512600972X?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S095070512600972X?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2026,5,29]],"date-time":"2026-05-29T01:12:06Z","timestamp":1780017126000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S095070512600972X"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2026,7]]},"references-count":53,"alternative-id":["S095070512600972X"],"URL":"https:\/\/doi.org\/10.1016\/j.knosys.2026.116246","relation":{},"ISSN":["0950-7051"],"issn-type":[{"value":"0950-7051","type":"print"}],"subject":[],"published":{"date-parts":[[2026,7]]},"assertion":[{"value":"Elsevier","name":"publisher","label":"This article is maintained by"},{"value":"ReDi-Net: Discarding redundancy and mining discriminative features for few-shot point cloud classification","name":"articletitle","label":"Article Title"},{"value":"Knowledge-Based Systems","name":"journaltitle","label":"Journal Title"},{"value":"https:\/\/doi.org\/10.1016\/j.knosys.2026.116246","name":"articlelink","label":"CrossRef DOI link to publisher maintained version"},{"value":"article","name":"content_type","label":"Content Type"},{"value":"\u00a9 2026 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.","name":"copyright","label":"Copyright"}],"article-number":"116246"}}