v1v2 (latest)

Balanced Residual Distillation Learning for 3D Point Cloud Class-Incremental Semantic Segmentation

Expert systems with applications (ESWA), 2024

2 August 2024

Papers citing "Balanced Residual Distillation Learning for 3D Point Cloud Class-Incremental Semantic Segmentation"

28 / 28 papers shown

Title
Decoupling Continual Semantic Segmentation Yifu Guo Y. Lu Wentao Zhang Zishan Xu Dexia Chen Siyu Zhang Yizhe Zhang Ruixuan Wang CLL 103 2 0 07 Aug 2025
FDBPL: Faster Distillation-Based Prompt Learning for Region-Aware Vision-Language Models AdaptationExpert systems with applications (ESWA), 2025 Zherui Zhang Jiaxin Wu Changwei Wang Rongtao Xu Longzhao Huang Wenhao Xu Wenbo Xu Li Guo Shibiao Xu VLM VPVLM 371 1 0 23 May 2025
CLIMB-3D: Continual Learning for Imbalanced 3D Instance Segmentation Vishal Thengane Jean Lahoud Hisham Cholakkal Rao Muhammad Anwer L. Yin Xiatian Zhu Salman Khan CLL 913 0 0 24 Feb 2025
Hierarchical Point-based Active Learning for Semi-supervised Point Cloud Semantic SegmentationIEEE International Conference on Computer Vision (ICCV), 2023 Zongyi Xu Bo Yuan Shanshan Zhao Qianni Zhang Xinbo Gao 3DPC 196 29 0 22 Aug 2023
NAPA-VQ: Neighborhood Aware Prototype Augmentation with Vector Quantization for Continual LearningIEEE International Conference on Computer Vision (ICCV), 2023 T. Malepathirana Damith A. Senanayake Saman K. Halgamuge CLL 148 15 0 18 Aug 2023
LACV-Net: Semantic Segmentation of Large-Scale Point Cloud Scene via Local Adaptive and Comprehensive VLADExpert systems with applications (ESWA), 2022 Ziyin Zeng Yongyang Xu Zhong Xie Wei Tang Jie Wan Weichao Wu 3DPC 221 28 0 12 Oct 2022
FOSTER: Feature Boosting and Compression for Class-Incremental LearningEuropean Conference on Computer Vision (ECCV), 2022 Fu Lee Wang Da-Wei Zhou Han-Jia Ye De-Chuan Zhan CLL 214 334 0 10 Apr 2022
Class-Incremental Learning by Knowledge Distillation with Adaptive Feature ConsolidationComputer Vision and Pattern Recognition (CVPR), 2022 Minsoo Kang Jaeyoo Park Bohyung Han CLL 179 226 0 02 Apr 2022
Stratified Transformer for 3D Point Cloud SegmentationComputer Vision and Pattern Recognition (CVPR), 2022 Xin Lai Jianhui Liu Li Jiang Liwei Wang Hengshuang Zhao Shu Liu Xiaojuan Qi Jiaya Jia 3DPC ViT 207 334 0 28 Mar 2022
Uncertainty-aware Contrastive Distillation for Incremental Semantic SegmentationIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022 Guanglei Yang Enrico Fini Dan Xu Paolo Rota Mingli Ding Moin Nabi Xavier Alameda-Pineda Elisa Ricci CLL 180 77 0 26 Mar 2022
DER: Dynamically Expandable Representation for Class Incremental LearningComputer Vision and Pattern Recognition (CVPR), 2021 Shipeng Yan Jiangwei Xie Xuming He CLL 151 553 0 31 Mar 2021
I3DOL: Incremental 3D Object Learning without Catastrophic ForgettingAAAI Conference on Artificial Intelligence (AAAI), 2020 Jiahua Dong Yang Cong Gan Sun Bingtao Ma Lichen Wang 3DPC CLL 235 36 0 16 Dec 2020
Self-Training for Class-Incremental Semantic SegmentationIEEE Transactions on Neural Networks and Learning Systems (IEEE TNNLS), 2020 Lu Yu Xialei Liu Joost van de Weijer CLL SSL 236 64 0 06 Dec 2020
Maintaining Discrimination and Fairness in Class Incremental LearningComputer Vision and Pattern Recognition (CVPR), 2019 Bowen Zhao Xi Xiao Guojun Gan Bin Zhang Shutao Xia CLL 298 498 0 16 Nov 2019
Compacting, Picking and Growing for Unforgetting Continual LearningNeural Information Processing Systems (NeurIPS), 2019 Steven C. Y. Hung Cheng-Hao Tu Cheng-En Wu Chien-Hung Chen Yi-Ming Chan Chu-Song Chen CLL 310 345 0 15 Oct 2019
Uncertainty-based Continual Learning with Adaptive RegularizationNeural Information Processing Systems (NeurIPS), 2019 Hongjoon Ahn Sungmin Cha Donggyu Lee Taesup Moon BDL 350 244 0 28 May 2019
Experience Replay for Continual Learning David Rolnick Arun Ahuja Jonathan Richard Schwarz Timothy Lillicrap Greg Wayne CLL 372 1,373 0 28 Nov 2018
End-to-End Incremental Learning F. M. Castro M. Marín-Jiménez Nicolás Guil Mata Cordelia Schmid Alahari Karteek CLL 429 1,243 0 25 Jul 2018
A LiDAR Point Cloud Generator: from a Virtual World to Autonomous Driving Xiangyu Yue Bichen Wu Sanjit A. Seshia Kurt Keutzer Alberto L. Sangiovanni-Vincentelli 3DPC 204 227 0 31 Mar 2018
Dynamic Graph CNN for Learning on Point Clouds Yue Wang Yongbin Sun Ziwei Liu Sanjay E. Sarma M. Bronstein Justin Solomon GNN 3DPC 805 6,823 0 24 Jan 2018
Lifelong Learning with Dynamically Expandable Networks Jaehong Yoon Eunho Yang Jeongtae Lee Sung Ju Hwang CLL 572 1,329 0 04 Aug 2017
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric SpaceNeural Information Processing Systems (NeurIPS), 2017 C. Qi L. Yi Hao Su Leonidas Guibas 3DPC 3DV 719 12,754 0 07 Jun 2017
ScanNet: Richly-annotated 3D Reconstructions of Indoor ScenesComputer Vision and Pattern Recognition (CVPR), 2017 Angela Dai Angel X. Chang Manolis Savva Maciej Halber Thomas Funkhouser Matthias Nießner 3DPC 3DV 1.2K 4,788 0 14 Feb 2017
Overcoming catastrophic forgetting in neural networks J. Kirkpatrick Razvan Pascanu Neil C. Rabinowitz J. Veness Guillaume Desjardins ... A. Grabska-Barwinska Demis Hassabis Claudia Clopath D. Kumaran R. Hadsell CLL 945 8,615 0 02 Dec 2016
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation C. Qi Hao Su Kaichun Mo Leonidas Guibas 3DH 3DPC 3DV PINN 1.1K 16,156 0 02 Dec 2016
iCaRL: Incremental Classifier and Representation Learning Sylvestre-Alvise Rebuffi Alexander Kolesnikov G. Sperl Christoph H. Lampert CLL OOD 558 4,270 0 23 Nov 2016
Learning without ForgettingIEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2016 Zhizhong Li Derek Hoiem CLL OOD SSL 903 5,008 0 29 Jun 2016
Adam: A Method for Stochastic OptimizationInternational Conference on Learning Representations (ICLR), 2014 Diederik P. Kingma Jimmy Ba ODL 4.4K 160,138 0 22 Dec 2014