Cover Image

CoMBO: Conflict Mitigation via Branched Optimization for Class Incremental Segmentation

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Fang, Kai, Zhang, Anqi, Gao, Guangyu, Jiao, Jianbo, Liu, Chi Harold, Wei, Yunchao
Format:	Preprint
Published:	2025
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

Bridge the Points: Graph-based Few-shot Segment Anything Semantically
by: Zhang, Anqi, et al.
Published: (2024)

Rethinking MLLM Itself as a Segmenter with a Single Segmentation Token
by: Zhang, Anqi, et al.
Published: (2026)

Background Adaptation with Residual Modeling for Exemplar-Free Class-Incremental Semantic Segmentation
by: Zhang, Anqi, et al.
Published: (2024)

IPSeg: Image Posterior Mitigates Semantic Drift in Class-Incremental Segmentation
by: Yu, Xiao, et al.
Published: (2025)

FlowSeg: Dynamic Semantic Guidance for LLM-Conditioned Segmentation
by: Zhang, Zekang, et al.
Published: (2026)

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

Collaborative Vision-Text Representation Optimizing for Open-Vocabulary Segmentation
by: Jiao, Siyu, et al.
Published: (2024)

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

ProtoFlow: Mitigating Forgetting in Class-Incremental Remote Sensing Segmentation via Low-Curvature Prototype Flow
by: Wu, Jiekai, et al.
Published: (2026)

Generalizable Two-Branch Framework for Image Class-Incremental Learning
by: Wu, Chao, et al.
Published: (2024)

Surface-SOS: Self-Supervised Object Segmentation via Neural Surface Representation
by: Zheng, Xiaoyun, et al.
Published: (2025)

Bias Mitigating Few-Shot Class-Incremental Learning
by: Zhao, Li-Jun, et al.
Published: (2024)

A Unified Reasoning Framework for Holistic Zero-Shot Video Anomaly Analysis
by: Lin, Dongheng, et al.
Published: (2025)

Cs2K: Class-specific and Class-shared Knowledge Guidance for Incremental Semantic Segmentation
by: Cong, Wei, et al.
Published: (2024)

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

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

Exemplar-Free Class Incremental Learning via Incremental Representation
by: Huang, Libo, et al.
Published: (2024)

Slightly Shift New Classes to Remember Old Classes for Video Class-Incremental Learning
by: Jiao, Jian, et al.
Published: (2024)

CoBra: Complementary Branch Fusing Class and Semantic Knowledge for Robust Weakly Supervised Semantic Segmentation
by: Han, Woojung, et al.
Published: (2024)

Class Incremental Medical Image Segmentation via Prototype-Guided Calibration and Dual-Aligned Distillation
by: Zhu, Shengqian, et al.
Published: (2025)

AWF: Adaptive Weight Fusion for Enhanced Class Incremental Semantic Segmentation
by: Sun, Zechao, et al.
Published: (2024)

Federated Class-Incremental Learning with Prompting
by: Luo, Xin, et al.
Published: (2023)

Cross-Domain Attribute Alignment with CLIP: A Rehearsal-Free Approach for Class-Incremental Unsupervised Domain Adaptation
by: Mi, Kerun, et al.
Published: (2025)

MCF-VC: Mitigate Catastrophic Forgetting in Class-Incremental Learning for Multimodal Video Captioning
by: Xiong, Huiyu, et al.
Published: (2024)

Class-Independent Increment: An Efficient Approach for Multi-label Class-Incremental Learning
by: Ding, Chenhao, et al.
Published: (2025)

Segment Any Class (SAC): Multi-Class Few-Shot Semantic Segmentation via Class Region Proposals
by: Zakir, Hussni Mohd, et al.
Published: (2024)

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

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

Few-shot Class-Incremental Learning via Generative Co-Memory Regularization
by: Bao, Kexin, et al.
Published: (2026)

OrCo: Towards Better Generalization via Orthogonality and Contrast for Few-Shot Class-Incremental Learning
by: Ahmed, Noor, et al.
Published: (2024)

Seeing Through the Chain: Mitigate Hallucination in Multimodal Reasoning Models via CoT Compression and Contrastive Preference Optimization
by: Fang, Hao, et al.
Published: (2026)

AINet+: Advancing Superpixel Segmentation via Cascaded Association Implantation
by: Wang, Yaxiong, et al.
Published: (2021)

Collaborative Feature-Logits Contrastive Learning for Open-Set Semi-Supervised Object Detection
by: Zhong, Xinhao, et al.
Published: (2024)

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

Navigating Semantic Drift in Task-Agnostic Class-Incremental Learning
by: Wu, Fangwen, et al.
Published: (2025)

DiffClass: Diffusion-Based Class Incremental Learning
by: Meng, Zichong, et al.
Published: (2024)

Class Balance Matters to Active Class-Incremental Learning
by: Huang, Zitong, et al.
Published: (2024)

ClassDiffusion: More Aligned Personalization Tuning with Explicit Class Guidance
by: Huang, Jiannan, et al.
Published: (2024)

Structure-Aware Feature Rectification with Region Adjacency Graphs for Training-Free Open-Vocabulary Semantic Segmentation
by: Huang, Qiming, et al.
Published: (2025)

An Exploratory Study on Abstract Images and Visual Representations Learned from Them
by: Li, Haotian, et al.
Published: (2025)