Guardado en:
| Autores principales: | Hobley, Michael A., Prisacariu, Victor A. |
|---|---|
| Formato: | Preprint |
| Publicado: |
2023
|
| Materias: | |
| Acceso en línea: | https://arxiv.org/abs/2309.04820 |
| Etiquetas: |
Agregar Etiqueta
Sin Etiquetas, Sea el primero en etiquetar este registro!
|
Ejemplares similares
FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning
por: Goswami, Dipam, et al.
Publicado: (2023)
por: Goswami, Dipam, et al.
Publicado: (2023)
DS-AL: A Dual-Stream Analytic Learning for Exemplar-Free Class-Incremental Learning
por: Zhuang, Huiping, et al.
Publicado: (2024)
por: Zhuang, Huiping, et al.
Publicado: (2024)
Task-recency bias strikes back: Adapting covariances in Exemplar-Free Class Incremental Learning
por: Rypeść, Grzegorz, et al.
Publicado: (2024)
por: Rypeść, Grzegorz, et al.
Publicado: (2024)
I2CANSAY:Inter-Class Analogical Augmentation and Intra-Class Significance Analysis for Non-Exemplar Online Task-Free Continual Learning
por: Dong, Songlin, et al.
Publicado: (2024)
por: Dong, Songlin, et al.
Publicado: (2024)
Single View Seafloor Recovery from Imaging Sonar via Differentiable Rendering
por: Brodjian, Sevan, et al.
Publicado: (2026)
por: Brodjian, Sevan, et al.
Publicado: (2026)
REAL: Representation Enhanced Analytic Learning for Exemplar-free Class-incremental Learning
por: He, Run, et al.
Publicado: (2024)
por: He, Run, et al.
Publicado: (2024)
PASS++: A Dual Bias Reduction Framework for Non-Exemplar Class-Incremental Learning
por: Zhu, Fei, et al.
Publicado: (2024)
por: Zhu, Fei, et al.
Publicado: (2024)
Exemplar-free Class Incremental Learning via Discriminative and Comparable One-class Classifiers
por: Sun, Wenju, et al.
Publicado: (2022)
por: Sun, Wenju, et al.
Publicado: (2022)
Semantic Shift Estimation via Dual-Projection and Classifier Reconstruction for Exemplar-Free Class-Incremental Learning
por: He, Run, et al.
Publicado: (2025)
por: He, Run, et al.
Publicado: (2025)
Partially Blinded Unlearning: Class Unlearning for Deep Networks a Bayesian Perspective
por: Panda, Subhodip, et al.
Publicado: (2024)
por: Panda, Subhodip, et al.
Publicado: (2024)
SD4Match: Learning to Prompt Stable Diffusion Model for Semantic Matching
por: Li, Xinghui, et al.
Publicado: (2023)
por: Li, Xinghui, et al.
Publicado: (2023)
Class Uncertainty: A Measure to Mitigate Class Imbalance
por: Baltaci, Z. S., et al.
Publicado: (2023)
por: Baltaci, Z. S., et al.
Publicado: (2023)
Splatt3R: Zero-shot Gaussian Splatting from Uncalibrated Image Pairs
por: Smart, Brandon, et al.
Publicado: (2024)
por: Smart, Brandon, et al.
Publicado: (2024)
Map-Relative Pose Regression for Visual Re-Localization
por: Chen, Shuai, et al.
Publicado: (2024)
por: Chen, Shuai, et al.
Publicado: (2024)
GACL: Exemplar-Free Generalized Analytic Continual Learning
por: Zhuang, Huiping, et al.
Publicado: (2024)
por: Zhuang, Huiping, et al.
Publicado: (2024)
On the Discrimination and Consistency for Exemplar-Free Class Incremental Learning
por: Wang, Tianqi, et al.
Publicado: (2025)
por: Wang, Tianqi, et al.
Publicado: (2025)
Intrinsic Dimensionality as a Model-Free Measure of Class Imbalance
por: Eser, Çağrı, et al.
Publicado: (2025)
por: Eser, Çağrı, et al.
Publicado: (2025)
Not Blind but Silenced: Rebalancing Vision and Language via Adversarial Counter-Commonsense Equilibrium
por: Xiao, Qingxin, et al.
Publicado: (2026)
por: Xiao, Qingxin, et al.
Publicado: (2026)
Cross-Class Feature Augmentation for Class Incremental Learning
por: Kim, Taehoon, et al.
Publicado: (2023)
por: Kim, Taehoon, et al.
Publicado: (2023)
Elastic Feature Consolidation for Cold Start Exemplar-Free Incremental Learning
por: Magistri, Simone, et al.
Publicado: (2024)
por: Magistri, Simone, et al.
Publicado: (2024)
Exemplar-Free Class Incremental Learning via Incremental Representation
por: Huang, Libo, et al.
Publicado: (2024)
por: Huang, Libo, et al.
Publicado: (2024)
OCCAM: Class-Agnostic, Training-Free, Prior-Free and Multi-Class Object Counting
por: Spanakis, Michail, et al.
Publicado: (2026)
por: Spanakis, Michail, et al.
Publicado: (2026)
12 mJ per Class On-Device Online Few-Shot Class-Incremental Learning
por: Wibowo, Yoga Esa, et al.
Publicado: (2024)
por: Wibowo, Yoga Esa, et al.
Publicado: (2024)
Class-wise Balancing Data Replay for Federated Class-Incremental Learning
por: Qi, Zhuang, et al.
Publicado: (2025)
por: Qi, Zhuang, et al.
Publicado: (2025)
When Classes Evolve: A Benchmark and Framework for Stage-Aware Class-Incremental Learning
por: Zhang, Zheng, et al.
Publicado: (2026)
por: Zhang, Zheng, et al.
Publicado: (2026)
Towards Fair Class-wise Robustness: Class Optimal Distribution Adversarial Training
por: Zhi, Hongxin, et al.
Publicado: (2025)
por: Zhi, Hongxin, et al.
Publicado: (2025)
P2L-CA: An Effective Parameter Tuning Framework for Rehearsal-Free Multi-Label Class-Incremental Learning
por: Dong, Songlin, et al.
Publicado: (2026)
por: Dong, Songlin, et al.
Publicado: (2026)
Confidence Self-Calibration for Multi-Label Class-Incremental Learning
por: Du, Kaile, et al.
Publicado: (2024)
por: Du, Kaile, et al.
Publicado: (2024)
Dynamic Prompt Adjustment for Multi-Label Class-Incremental Learning
por: Zhao, Haifeng, et al.
Publicado: (2024)
por: Zhao, Haifeng, et al.
Publicado: (2024)
Adaptive Margin Global Classifier for Exemplar-Free Class-Incremental Learning
por: Yao, Zhongren, et al.
Publicado: (2024)
por: Yao, Zhongren, et al.
Publicado: (2024)
Class-Incremental Learning: A Survey
por: Zhou, Da-Wei, et al.
Publicado: (2023)
por: Zhou, Da-Wei, et al.
Publicado: (2023)
Reproducibility review of "Why Not Other Classes": Towards Class-Contrastive Back-Propagation Explanations
por: Eriksson, Arvid, et al.
Publicado: (2025)
por: Eriksson, Arvid, et al.
Publicado: (2025)
Breaking Class Barriers: Efficient Dataset Distillation via Inter-Class Feature Compensator
por: Zhang, Xin, et al.
Publicado: (2024)
por: Zhang, Xin, et al.
Publicado: (2024)
OVOR: OnePrompt with Virtual Outlier Regularization for Rehearsal-Free Class-Incremental Learning
por: Huang, Wei-Cheng, et al.
Publicado: (2024)
por: Huang, Wei-Cheng, et al.
Publicado: (2024)
Neural Collapse by Design: Learning Class Prototypes on the Hypersphere
por: Koromilas, Panagiotis, et al.
Publicado: (2026)
por: Koromilas, Panagiotis, et al.
Publicado: (2026)
Class Adaptive Conformal Training
por: Marani, Badr-Eddine, et al.
Publicado: (2026)
por: Marani, Badr-Eddine, et al.
Publicado: (2026)
Specifying What You Know or Not for Multi-Label Class-Incremental Learning
por: Zhang, Aoting, et al.
Publicado: (2025)
por: Zhang, Aoting, et al.
Publicado: (2025)
Blind Inverse Problem Solving Made Easy by Text-to-Image Latent Diffusion
por: Dontas, Michail, et al.
Publicado: (2024)
por: Dontas, Michail, et al.
Publicado: (2024)
Runtime Freezing: Dynamic Class Loss for Multi-Organ 3D Segmentation
por: Willoughby, James, et al.
Publicado: (2024)
por: Willoughby, James, et al.
Publicado: (2024)
Few-Shot Learning with Class Imbalance
por: Ochal, Mateusz, et al.
Publicado: (2021)
por: Ochal, Mateusz, et al.
Publicado: (2021)
Ejemplares similares
-
FeCAM: Exploiting the Heterogeneity of Class Distributions in Exemplar-Free Continual Learning
por: Goswami, Dipam, et al.
Publicado: (2023) -
DS-AL: A Dual-Stream Analytic Learning for Exemplar-Free Class-Incremental Learning
por: Zhuang, Huiping, et al.
Publicado: (2024) -
Task-recency bias strikes back: Adapting covariances in Exemplar-Free Class Incremental Learning
por: Rypeść, Grzegorz, et al.
Publicado: (2024) -
I2CANSAY:Inter-Class Analogical Augmentation and Intra-Class Significance Analysis for Non-Exemplar Online Task-Free Continual Learning
por: Dong, Songlin, et al.
Publicado: (2024) -
Single View Seafloor Recovery from Imaging Sonar via Differentiable Rendering
por: Brodjian, Sevan, et al.
Publicado: (2026)