Saved in:
| Main Authors: | Wu, Chao, Chang, Xiaobin, Wang, Ruixuan |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | https://arxiv.org/abs/2402.18086 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Adaptive Margin Global Classifier for Exemplar-Free Class-Incremental Learning
by: Yao, Zhongren, et al.
Published: (2024)
by: Yao, Zhongren, et al.
Published: (2024)
Rotation Augmented Distillation for Exemplar-Free Class Incremental Learning with Detailed Analysis
by: Chen, Xiuwei, et al.
Published: (2023)
by: Chen, Xiuwei, et al.
Published: (2023)
Compositional Few-Shot Class-Incremental Learning
by: Zou, Yixiong, et al.
Published: (2024)
by: Zou, Yixiong, et al.
Published: (2024)
Representation Calibration and Uncertainty Guidance for Class-Incremental Learning based on Vision Language Model
by: Tan, Jiantao, et al.
Published: (2025)
by: Tan, Jiantao, et al.
Published: (2025)
CMIP-CIL: A Cross-Modal Benchmark for Image-Point Class Incremental Learning
by: Qi, Chao, et al.
Published: (2025)
by: Qi, Chao, et al.
Published: (2025)
Delve into Base-Novel Confusion: Redundancy Exploration for Few-Shot Class-Incremental Learning
by: Zhou, Haichen, et al.
Published: (2024)
by: Zhou, Haichen, et al.
Published: (2024)
Probing Image Compression For Class-Incremental Learning
by: Yang, Justin, et al.
Published: (2024)
by: Yang, Justin, et al.
Published: (2024)
EndoCIL: A Class-Incremental Learning Framework for Endoscopic Image Classification
by: Liu, Bingrong, et al.
Published: (2025)
by: Liu, Bingrong, et al.
Published: (2025)
Class-Independent Increment: An Efficient Approach for Multi-label Class-Incremental Learning
by: Ding, Chenhao, et al.
Published: (2025)
by: Ding, Chenhao, et al.
Published: (2025)
CoMBO: Conflict Mitigation via Branched Optimization for Class Incremental Segmentation
by: Fang, Kai, et al.
Published: (2025)
by: Fang, Kai, et al.
Published: (2025)
Bias Mitigating Few-Shot Class-Incremental Learning
by: Zhao, Li-Jun, et al.
Published: (2024)
by: Zhao, Li-Jun, et al.
Published: (2024)
DiffClass: Diffusion-Based Class Incremental Learning
by: Meng, Zichong, et al.
Published: (2024)
by: Meng, Zichong, et al.
Published: (2024)
IIDM: Image-to-Image Diffusion Model for Semantic Image Synthesis
by: Liu, Feng, et al.
Published: (2024)
by: Liu, Feng, et al.
Published: (2024)
Rethinking Class-Incremental Learning from a Dynamic Imbalanced Learning Perspective
by: Wang, Leyuan, et al.
Published: (2024)
by: Wang, Leyuan, et al.
Published: (2024)
Exemplar-Free Class Incremental Learning via Incremental Representation
by: Huang, Libo, et al.
Published: (2024)
by: Huang, Libo, et al.
Published: (2024)
Singular Value Fine-tuning for Few-Shot Class-Incremental Learning
by: Wang, Zhiwu, et al.
Published: (2025)
by: Wang, Zhiwu, et al.
Published: (2025)
Class Balance Matters to Active Class-Incremental Learning
by: Huang, Zitong, et al.
Published: (2024)
by: Huang, Zitong, et al.
Published: (2024)
Navigating Semantic Drift in Task-Agnostic Class-Incremental Learning
by: Wu, Fangwen, et al.
Published: (2025)
by: Wu, Fangwen, et al.
Published: (2025)
Revisiting Class-Incremental Learning with Pre-Trained Models: Generalizability and Adaptivity are All You Need
by: Zhou, Da-Wei, et al.
Published: (2023)
by: Zhou, Da-Wei, et al.
Published: (2023)
Online Class-Incremental Learning For Real-World Food Image Classification
by: Raghavan, Siddeshwar, et al.
Published: (2023)
by: Raghavan, Siddeshwar, et al.
Published: (2023)
When Classes Evolve: A Benchmark and Framework for Stage-Aware Class-Incremental Learning
by: Zhang, Zheng, et al.
Published: (2026)
by: Zhang, Zheng, et al.
Published: (2026)
ACIL: Active Class Incremental Learning for Image Classification
by: Bhattacharya, Aditya R., et al.
Published: (2026)
by: Bhattacharya, Aditya R., et al.
Published: (2026)
Zero-shot Generalizable Incremental Learning for Vision-Language Object Detection
by: Deng, Jieren, et al.
Published: (2024)
by: Deng, Jieren, et al.
Published: (2024)
On the Discrimination and Consistency for Exemplar-Free Class Incremental Learning
by: Wang, Tianqi, et al.
Published: (2025)
by: Wang, Tianqi, et al.
Published: (2025)
Closing the Oracle Gap: Increment Vector Transformation for Class Incremental Learning
by: Qiu, Zihuan, et al.
Published: (2025)
by: Qiu, Zihuan, et al.
Published: (2025)
ResAD: A Simple Framework for Class Generalizable Anomaly Detection
by: Yao, Xincheng, et al.
Published: (2024)
by: Yao, Xincheng, et al.
Published: (2024)
Revisiting Pool-based Prompt Learning for Few-shot Class-incremental Learning
by: Jiang, Yongwei, et al.
Published: (2025)
by: Jiang, Yongwei, et al.
Published: (2025)
Rebalancing Multi-Label Class-Incremental Learning
by: Du, Kaile, et al.
Published: (2024)
by: Du, Kaile, et al.
Published: (2024)
Defying Imbalanced Forgetting in Class Incremental Learning
by: Xu, Shixiong, et al.
Published: (2024)
by: Xu, Shixiong, et al.
Published: (2024)
Class Incremental Learning with Task-Specific Batch Normalization and Out-of-Distribution Detection
by: Zhou, Zhiping, et al.
Published: (2024)
by: Zhou, Zhiping, et al.
Published: (2024)
EKPC: Elastic Knowledge Preservation and Compensation for Class-Incremental Learning
by: Wang, Huaijie, et al.
Published: (2025)
by: Wang, Huaijie, et al.
Published: (2025)
Dynamic Feature Learning and Matching for Class-Incremental Learning
by: Qiang, Sunyuan, et al.
Published: (2024)
by: Qiang, Sunyuan, et al.
Published: (2024)
Class-Incremental Learning: A Survey
by: Zhou, Da-Wei, et al.
Published: (2023)
by: Zhou, Da-Wei, et al.
Published: (2023)
Addressing Imbalance for Class Incremental Learning in Medical Image Classification
by: Hao, Xuze, et al.
Published: (2024)
by: Hao, Xuze, et al.
Published: (2024)
Enhanced Few-Shot Class-Incremental Learning via Ensemble Models
by: Zhu, Mingli, et al.
Published: (2024)
by: Zhu, Mingli, et al.
Published: (2024)
Preserving Cross-Modal Consistency for CLIP-based Class-Incremental Learning
by: Chen, Haoran, et al.
Published: (2025)
by: Chen, Haoran, et al.
Published: (2025)
Slightly Shift New Classes to Remember Old Classes for Video Class-Incremental Learning
by: Jiao, Jian, et al.
Published: (2024)
by: Jiao, Jian, et al.
Published: (2024)
Adaptive Prototype Replay for Class Incremental Semantic Segmentation
by: Zhu, Guilin, et al.
Published: (2024)
by: Zhu, Guilin, et al.
Published: (2024)
Unlocking Prototype Potential: An Efficient Tuning Framework for Few-Shot Class-Incremental Learning
by: Jiang, Shengqin, et al.
Published: (2026)
by: Jiang, Shengqin, et al.
Published: (2026)
Generalizable and Adaptive Continual Learning Framework for AI-generated Image Detection
by: Wang, Hanyi, et al.
Published: (2026)
by: Wang, Hanyi, et al.
Published: (2026)
Similar Items
-
Adaptive Margin Global Classifier for Exemplar-Free Class-Incremental Learning
by: Yao, Zhongren, et al.
Published: (2024) -
Rotation Augmented Distillation for Exemplar-Free Class Incremental Learning with Detailed Analysis
by: Chen, Xiuwei, et al.
Published: (2023) -
Compositional Few-Shot Class-Incremental Learning
by: Zou, Yixiong, et al.
Published: (2024) -
Representation Calibration and Uncertainty Guidance for Class-Incremental Learning based on Vision Language Model
by: Tan, Jiantao, et al.
Published: (2025) -
CMIP-CIL: A Cross-Modal Benchmark for Image-Point Class Incremental Learning
by: Qi, Chao, et al.
Published: (2025)