Cover Image

Unsupervised Video Class-Incremental Learning via Deep Embedded Clustering Management

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kurpukdee, Nattapong, Bors, Adrian G.
Format:	Preprint
Published:	2026
Subjects:	Computer Vision and Pattern Recognition Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Unsupervised Video Continual Learning via Non-Parametric Deep Embedded Clustering
by: Kurpukdee, Nattapong, et al.
Published: (2025)

Two-Stream temporal transformer for video action classification
by: Kurpukdee, Nattapong, et al.
Published: (2026)

Inference-based GAN Video Generation
by: Yang, Jingbo, et al.
Published: (2025)

Class Incremental Learning via Likelihood Ratio Based Task Prediction
by: Lin, Haowei, et al.
Published: (2023)

CCSI: Continual Class-Specific Impression for Data-free Class Incremental Learning
by: Ayromlou, Sana, et al.
Published: (2024)

Feature Expansion and enhanced Compression for Class Incremental Learning
by: Ferdinand, Quentin, et al.
Published: (2024)

Prediction Error-based Classification for Class-Incremental Learning
by: Zając, Michał, et al.
Published: (2023)

Dynamic Integration of Task-Specific Adapters for Class Incremental Learning
by: Li, Jiashuo, et al.
Published: (2024)

Merge and Bound: Direct Manipulations on Weights for Class Incremental Learning
by: Kim, Taehoon, et al.
Published: (2025)

Buffer-free Class-Incremental Learning with Out-of-Distribution Detection
by: Gupta, Srishti, et al.
Published: (2025)

Hyperbolic Coarse-to-Fine Few-Shot Class-Incremental Learning
by: Dai, Jiaxin, et al.
Published: (2025)

PIP: Prototypes-Injected Prompt for Federated Class Incremental Learning
by: Ma'sum, Muhammad Anwar, et al.
Published: (2024)

Controllable Forgetting Mechanism for Few-Shot Class-Incremental Learning
by: Paramonov, Kirill, et al.
Published: (2025)

Feature-Space Generative Models for One-Shot Class-Incremental Learning
by: Foster, Jack, et al.
Published: (2026)

Continual Adapter Tuning with Semantic Shift Compensation for Class-Incremental Learning
by: Zhou, Qinhao, 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)

Knowledge Graph Enhanced Generative Multi-modal Models for Class-Incremental Learning
by: Cao, Xusheng, et al.
Published: (2025)

Few-Shot Class Incremental Learning with Attention-Aware Self-Adaptive Prompt
by: Liu, Chenxi, et al.
Published: (2024)

Unsupervised Learning of Disentangled Representations from Video
by: Denton, Remi, et al.
Published: (2017)

Generative Multi-modal Models are Good Class-Incremental Learners
by: Cao, Xusheng, et al.
Published: (2024)

GradMix: Gradient-based Selective Mixup for Robust Data Augmentation in Class-Incremental Learning
by: Kim, Minsu, et al.
Published: (2025)

Walking the Web of Concept-Class Relationships in Incrementally Trained Interpretable Models
by: Agrawal, Susmit, et al.
Published: (2025)

Incremental Learning with Repetition via Pseudo-Feature Projection
by: Tscheschner, Benedikt, et al.
Published: (2025)

Noise-Tolerant Coreset-Based Class Incremental Continual Learning
by: Mucllari, Edison, et al.
Published: (2025)

Angular Constraint Embedding via SpherePair Loss for Constrained Clustering
by: Zhang, Shaojie, et al.
Published: (2025)

Latest Advancements Towards Catastrophic Forgetting under Data Scarcity: A Comprehensive Survey on Few-Shot Class Incremental Learning
by: Ma'sum, M. Anwar, et al.
Published: (2025)

CLASP: Adaptive Spectral Clustering for Unsupervised Per-Image Segmentation
by: Curie, Max, et al.
Published: (2025)

REGEN: Learning Compact Video Embedding with (Re-)Generative Decoder
by: Zhang, Yitian, et al.
Published: (2025)

One-Shot Domain Incremental Learning
by: Esaki, Yasushi, et al.
Published: (2024)

Unsupervised Active Learning via Natural Feature Progressive Framework
by: Liu, Yuxi, et al.
Published: (2025)

Reinforcement Learning for Unsupervised Video Summarization with Reward Generator Training
by: Abbasi, Mehryar, et al.
Published: (2024)

Self-supervised Learning of Echocardiographic Video Representations via Online Cluster Distillation
by: Mishra, Divyanshu, et al.
Published: (2025)

Unsupervised Domain Adaptation within Deep Foundation Latent Spaces
by: Kangin, Dmitry, et al.
Published: (2024)

Improving Zero-shot Generalization of Learned Prompts via Unsupervised Knowledge Distillation
by: Mistretta, Marco, et al.
Published: (2024)

Uncertainty-guided Open-Set Source-Free Unsupervised Domain Adaptation with Target-private Class Segregation
by: Litrico, Mattia, et al.
Published: (2024)

A Class-aware Optimal Transport Approach with Higher-Order Moment Matching for Unsupervised Domain Adaptation
by: Nguyen, Tuan, et al.
Published: (2024)

Continual Hyperbolic Learning of Instances and Classes
by: Ayoughi, Melika, et al.
Published: (2025)

Beyond Known Clusters: Probe New Prototypes for Efficient Generalized Class Discovery
by: Wang, Ye, et al.
Published: (2024)

Robust CLIP: Unsupervised Adversarial Fine-Tuning of Vision Embeddings for Robust Large Vision-Language Models
by: Schlarmann, Christian, et al.
Published: (2024)

Domain Incremental Learning for Pandemic-Resilient Chest X-Ray Analysis
by: Kim, Danu
Published: (2026)