Cover Image

AttriCLIP: A Non-Incremental Learner for Incremental Knowledge Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wang, Runqi, Duan, Xiaoyue, Kang, Guoliang, Liu, Jianzhuang, Lin, Shaohui, Xu, Songcen, Lv, Jinhu, Zhang, Baochang
Format:	Preprint
Published:	2023
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

AttriPrompt: Dynamic Prompt Composition Learning for CLIP
by: Zhan, Qiqi, et al.
Published: (2025)

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

Incremental Object Detection with CLIP
by: Huang, Ziyue, et al.
Published: (2023)

Normalizing Batch Normalization for Long-Tailed Recognition
by: Bao, Yuxiang, et al.
Published: (2025)

External Knowledge Injection for CLIP-Based Class-Incremental Learning
by: Zhou, Da-Wei, et al.
Published: (2025)

Adaptive Weighted Parameter Fusion with CLIP for Class-Incremental Learning
by: Guo, Juncen, et al.
Published: (2025)

Index-Aligned Query Distillation for Transformer-based Incremental Object Detection
by: Ma, Mingxiao, et al.
Published: (2025)

ReCLIP++: Learn to Rectify the Bias of CLIP for Unsupervised Semantic Segmentation
by: Wang, Jingyun, et al.
Published: (2024)

Preserving Cross-Modal Consistency for CLIP-based Class-Incremental Learning
by: Chen, Haoran, et al.
Published: (2025)

DeCLIP: Decoupled Prompting for CLIP-based Multi-Label Class-Incremental Learning
by: Du, Kaile, et al.
Published: (2025)

PILoRA: Prototype Guided Incremental LoRA for Federated Class-Incremental Learning
by: Guo, Haiyang, et al.
Published: (2024)

Decision Boundary-aware Knowledge Consolidation Generates Better Instance-Incremental Learner
by: Nie, Qiang, et al.
Published: (2024)

Towards Non-Exemplar Semi-Supervised Class-Incremental Learning
by: Liu, Wenzhuo, et al.
Published: (2024)

Unlocking Patch-Level Features for CLIP-Based Class-Incremental Learning
by: Sun, Hao, et al.
Published: (2026)

Class-Incremental Learning with CLIP: Adaptive Representation Adjustment and Parameter Fusion
by: Huang, Linlan, et al.
Published: (2024)

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

Hierarchical Representation Matching for CLIP-based Class-Incremental Learning
by: Wen, Zhen-Hao, et al.
Published: (2025)

Continual Learning on CLIP via Incremental Prompt Tuning with Intrinsic Textual Anchors
by: Lu, Haodong, et al.
Published: (2025)

Robust Incremental Structure-from-Motion with Hybrid Features
by: Liu, Shaohui, et al.
Published: (2024)

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

Componential Prompt-Knowledge Alignment for Domain Incremental Learning
by: Xu, Kunlun, et al.
Published: (2025)

CLIP-Map: Structured Matrix Mapping for Parameter-Efficient CLIP Compression
by: Zhang, Kangjie, et al.
Published: (2026)

Foundation Models as Class-Incremental Learners for Dermatological Image Classification
by: Elkhayat, Mohamed, et al.
Published: (2025)

MoP-CLIP: A Mixture of Prompt-Tuned CLIP Models for Domain Incremental Learning
by: Nicolas, Julien, et al.
Published: (2023)

GR4CIL: Gap-compensated Routing for CLIP-based Class Incremental Learning
by: Wang, Tianqi, et al.
Published: (2026)

Hierarchical Semantic Tree Anchoring for CLIP-Based Class-Incremental Learning
by: Hu, Tao, et al.
Published: (2025)

AREA: Attribute Extraction and Aggregation for CLIP-Based Class-Incremental Learning
by: Xie, Zhen-Hao, et al.
Published: (2026)

Probing Image Compression For Class-Incremental Learning
by: Yang, Justin, et al.
Published: (2024)

Restoring Forgotten Knowledge in Non-Exemplar Class Incremental Learning through Test-Time Semantic Evolution
by: Lu, Haori, et al.
Published: (2025)

PASS++: A Dual Bias Reduction Framework for Non-Exemplar Class-Incremental Learning
by: Zhu, Fei, et al.
Published: (2024)

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

Efficient Non-Exemplar Class-Incremental Learning with Retrospective Feature Synthesis
by: Bai, Liang, et al.
Published: (2024)

Pre-trained Vision and Language Transformers Are Few-Shot Incremental Learners
by: Park, Keon-Hee, et al.
Published: (2024)

Prompt-Based Exemplar Super-Compression and Regeneration for Class-Incremental Learning
by: Duan, Ruxiao, et al.
Published: (2023)

C3Box: A CLIP-based Class-Incremental Learning Toolbox
by: Sun, Hao, et al.
Published: (2026)

Diffusion Model Meets Non-Exemplar Class-Incremental Learning and Beyond
by: Zhang, Jichuan, et al.
Published: (2024)

EKPC: Elastic Knowledge Preservation and Compensation for Class-Incremental Learning
by: Wang, Huaijie, et al.
Published: (2025)

Enhancing Visual Reliance in Text Generation: A Bayesian Perspective on Mitigating Hallucination in Large Vision-Language Models
by: Hu, Nanxing, et al.
Published: (2025)

Attention Head Purification: A New Perspective to Harness CLIP for Domain Generalization
by: Wang, Yingfan, et al.
Published: (2024)

MagicEraser: Erasing Any Objects via Semantics-Aware Control
by: Li, Fan, et al.
Published: (2024)