Cover Image

CFSSeg: Closed-Form Solution for Class-Incremental Semantic Segmentation of 2D Images and 3D Point Clouds

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Li, Jiaxu, Li, Rui, Qi, Jianyu, Lai, Songning, Lv, Linpu, Fan, Kejia, Tang, Jianheng, Yue, Yutao, Zhou, Dongzhan, Liu, Yuanhuai, Zhuang, Huiping
Format:	Preprint
Published:	2024
Subjects:	Computer Vision and Pattern Recognition
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

TS-ACL: Closed-Form Solution for Time Series-oriented Continual Learning
by: Li, Jiaxu, et al.
Published: (2024)

FedHiP: Heterogeneity-Invariant Personalized Federated Learning Through Closed-Form Solutions
by: Tang, Jianheng, et al.
Published: (2025)

Balanced Residual Distillation Learning for 3D Point Cloud Class-Incremental Semantic Segmentation
by: Su, Yuanzhi, et al.
Published: (2024)

ReFu: Recursive Fusion for Exemplar-Free 3D Class-Incremental Learning
by: Yang, Yi, et al.
Published: (2024)

DSS-Prompt: Dynamic-Static Synergistic Prompting for Few-Shot Class-Incremental Learning
by: He, Linpu, et al.
Published: (2025)

ProtoGuard-guided PROPEL: Class-Aware Prototype Enhancement and Progressive Labeling for Incremental 3D Point Cloud Segmentation
by: Li, Haosheng, et al.
Published: (2025)

Analytic Class Incremental Learning for Sound Source Localization with Privacy Protection
by: Qian, Xinyuan, et al.
Published: (2024)

Mitigating Spurious Background Bias in Multimedia Recognition with Disentangled Concept Bottlenecks
by: Huang, Gaoxiang, et al.
Published: (2025)

Wolf2Pack: The AutoFusion Framework for Dynamic Parameter Fusion
by: Tian, Bowen, et al.
Published: (2024)

Semantic Shift Estimation via Dual-Projection and Classifier Reconstruction for Exemplar-Free Class-Incremental Learning
by: He, Run, et al.
Published: (2025)

Subspace Prototype Guidance for Mitigating Class Imbalance in Point Cloud Semantic Segmentation
by: Han, Jiawei, et al.
Published: (2024)

PointGS: Semantic-Consistent Unsupervised 3D Point Cloud Segmentation with 3D Gaussian Splatting
by: Song, Yixiao, et al.
Published: (2026)

APFL: Analytic Personalized Federated Learning via Dual-Stream Least Squares
by: Fan, Kejia, et al.
Published: (2025)

DeepAFL: Deep Analytic Federated Learning
by: Tang, Jianheng, et al.
Published: (2026)

GSTran: Joint Geometric and Semantic Coherence for Point Cloud Segmentation
by: Li, Abiao, et al.
Published: (2024)

Towards Realistic Incremental Scenario in Class Incremental Semantic Segmentation
by: Kwak, Jihwan, et al.
Published: (2024)

Multimodality Helps Few-shot 3D Point Cloud Semantic Segmentation
by: An, Zhaochong, et al.
Published: (2024)

ACU: Analytic Continual Unlearning for Efficient and Exact Forgetting with Privacy Preservation
by: Tang, Jianheng, et al.
Published: (2025)

Rethinking Few-shot 3D Point Cloud Semantic Segmentation
by: An, Zhaochong, et al.
Published: (2024)

RESSCAL3D++: Joint Acquisition and Semantic Segmentation of 3D Point Clouds
by: Royen, Remco, et al.
Published: (2024)

RESSCAL3D: Resolution Scalable 3D Semantic Segmentation of Point Clouds
by: Royen, Remco, et al.
Published: (2024)

Learning Yourself: Class-Incremental Semantic Segmentation with Language-Inspired Bootstrapped Disentanglement
by: Wu, Ruitao, et al.
Published: (2025)

Mitigating Background Shift in Class-Incremental Semantic Segmentation
by: Park, Gilhan, et al.
Published: (2024)

Adaptive Prototype Replay for Class Incremental Semantic Segmentation
by: Zhu, Guilin, et al.
Published: (2024)

CAT: Concept-level backdoor ATtacks for Concept Bottleneck Models
by: Lai, Songning, et al.
Published: (2024)

PAL: Prompting Analytic Learning with Missing Modality for Multi-Modal Class-Incremental Learning
by: Yue, Xianghu, et al.
Published: (2025)

Organizing Background to Explore Latent Classes for Incremental Few-shot Semantic Segmentation
by: Shan, Lianlei, et al.
Published: (2024)

Learning New Concepts, Remembering the Old: Continual Learning for Multimodal Concept Bottleneck Models
by: Lai, Songning, et al.
Published: (2024)

AnalyticKWS: Towards Exemplar-Free Analytic Class Incremental Learning for Small-footprint Keyword Spotting
by: Xiao, Yang, et al.
Published: (2025)

Non-Forgetting Knowledge Allocation with Bi-level Competition for Class-Incremental Learning
by: Tan, Xiang, et al.
Published: (2026)

L3A: Label-Augmented Analytic Adaptation for Multi-Label Class Incremental Learning
by: Zhang, Xiang, et al.
Published: (2025)

DS-AL: A Dual-Stream Analytic Learning for Exemplar-Free Class-Incremental Learning
by: Zhuang, Huiping, et al.
Published: (2024)

Closing the Oracle Gap: Increment Vector Transformation for Class Incremental Learning
by: Qiu, Zihuan, et al.
Published: (2025)

Completely Weakly Supervised Class-Incremental Learning for Semantic Segmentation
by: Kim, David Minkwan, et al.
Published: (2025)

Point Cloud Semantic Segmentation with Sparse and Inhomogeneous Annotations
by: Pan, Zhiyi, et al.
Published: (2023)

Fine-grained Metrics for Point Cloud Semantic Segmentation
by: Lu, Zhuheng, et al.
Published: (2024)

Refining Segmentation On-the-Fly: An Interactive Framework for Point Cloud Semantic Segmentation
by: Zhang, Peng, et al.
Published: (2024)

PDF: A Probability-Driven Framework for Open World 3D Point Cloud Semantic Segmentation
by: Xu, Jinfeng, et al.
Published: (2024)

3D-PointZshotS: Geometry-Aware 3D Point Cloud Zero-Shot Semantic Segmentation Narrowing the Visual-Semantic Gap
by: Yang, Minmin, et al.
Published: (2025)

Text2Weight: Bridging Natural Language and Neural Network Weight Spaces
by: Tian, Bowen, et al.
Published: (2025)