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

2 August 2024

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

27 / 27 papers shown

Title
FDBPL: Faster Distillation-Based Prompt Learning for Region-Aware Vision-Language Models Adaptation Zherui Zhang Jiaxin Wu Changwei Wang Rongtao Xu Longzhao Huang Wenhao Xu Wenbo Xu Li Guo Shibiao Xu VLM VPVLM 131 0 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 449 0 0 24 Feb 2025
Hierarchical Point-based Active Learning for Semi-supervised Point Cloud Semantic Segmentation Zongyi Xu Bo Yuan Shanshan Zhao Qianni Zhang Xinbo Gao 3DPC 81 17 0 22 Aug 2023
NAPA-VQ: Neighborhood Aware Prototype Augmentation with Vector Quantization for Continual Learning T. Malepathirana Damith A. Senanayake Saman K. Halgamuge CLL 60 13 0 18 Aug 2023
LACV-Net: Semantic Segmentation of Large-Scale Point Cloud Scene via Local Adaptive and Comprehensive VLAD Ziyin Zeng Yongyang Xu Zhong Xie Wei Tang Jie Wan Weichao Wu 3DPC 73 19 0 12 Oct 2022
FOSTER: Feature Boosting and Compression for Class-Incremental Learning Fu Lee Wang Da-Wei Zhou Han-Jia Ye De-Chuan Zhan CLL 82 259 0 10 Apr 2022
Class-Incremental Learning by Knowledge Distillation with Adaptive Feature Consolidation Minsoo Kang Jaeyoo Park Bohyung Han CLL 98 188 0 02 Apr 2022
Stratified Transformer for 3D Point Cloud Segmentation Xin Lai Jianhui Liu Li Jiang Liwei Wang Hengshuang Zhao Shu Liu Xiaojuan Qi Jiaya Jia 3DPC ViT 114 274 0 28 Mar 2022
Uncertainty-aware Contrastive Distillation for Incremental Semantic Segmentation Guanglei Yang Enrico Fini Dan Xu Paolo Rota Mingli Ding Moin Nabi Xavier Alameda-Pineda Elisa Ricci CLL 61 67 0 26 Mar 2022
DER: Dynamically Expandable Representation for Class Incremental Learning Shipeng Yan Jiangwei Xie Xuming He CLL 67 454 0 31 Mar 2021
I3DOL: Incremental 3D Object Learning without Catastrophic Forgetting Jiahua Dong Yang Cong Gan Sun Bingtao Ma Lichen Wang 3DPC CLL 91 32 0 16 Dec 2020
Self-Training for Class-Incremental Semantic Segmentation Lu Yu Xialei Liu Joost van de Weijer CLL SSL 67 57 0 06 Dec 2020
Maintaining Discrimination and Fairness in Class Incremental Learning Bowen Zhao Xi Xiao Guojun Gan Bin Zhang Shutao Xia CLL 130 430 0 16 Nov 2019
Compacting, Picking and Growing for Unforgetting Continual Learning Steven C. Y. Hung Cheng-Hao Tu Cheng-En Wu Chien-Hung Chen Yi-Ming Chan Chu-Song Chen CLL 62 316 0 15 Oct 2019
Uncertainty-based Continual Learning with Adaptive Regularization Hongjoon Ahn Sungmin Cha Donggyu Lee Taesup Moon BDL 78 218 0 28 May 2019
Experience Replay for Continual Learning David Rolnick Arun Ahuja Jonathan Richard Schwarz Timothy Lillicrap Greg Wayne CLL 116 1,171 0 28 Nov 2018
End-to-End Incremental Learning F. M. Castro M. Marín-Jiménez Nicolás Guil Mata Cordelia Schmid Alahari Karteek CLL 87 1,160 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 47 208 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 257 6,168 0 24 Jan 2018
Lifelong Learning with Dynamically Expandable Networks Jaehong Yoon Eunho Yang Jeongtae Lee Sung Ju Hwang CLL 123 1,229 0 04 Aug 2017
PointNet++: Deep Hierarchical Feature Learning on Point Sets in a Metric Space C. Qi L. Yi Hao Su Leonidas Guibas 3DPC 3DV 366 11,142 0 07 Jun 2017
ScanNet: Richly-annotated 3D Reconstructions of Indoor Scenes Angela Dai Angel X. Chang Manolis Savva Maciej Halber Thomas Funkhouser Matthias Nießner 3DPC 3DV 489 4,077 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 374 7,561 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 493 14,360 0 02 Dec 2016
iCaRL: Incremental Classifier and Representation Learning Sylvestre-Alvise Rebuffi Alexander Kolesnikov G. Sperl Christoph H. Lampert CLL OOD 160 3,781 0 23 Nov 2016
Learning without Forgetting Zhizhong Li Derek Hoiem CLL OOD SSL 304 4,428 0 29 Jun 2016
Adam: A Method for Stochastic Optimization Diederik P. Kingma Jimmy Ba ODL 2.0K 150,312 0 22 Dec 2014