Copertina

Continual Learning of Conjugated Visual Representations through Higher-order Motion Flows

Fuente: arXiv

Salvato in:

Dettagli Bibliografici
Autori principali:	Marullo, Simone, Tiezzi, Matteo, Gori, Marco, Melacci, Stefano
Natura:	Preprint
Pubblicazione:	2024
Soggetti:	Computer Vision and Pattern Recognition Machine Learning
Accesso online:	Acceder al recurso
Tags:	Aggiungi Tag Nessun Tag, puoi essere il primo ad aggiungerne!!

Documenti analoghi

An Attention-based Representation Distillation Baseline for Multi-Label Continual Learning
di: Menabue, Martin, et al.
Pubblicazione: (2024)

State-Space Modeling in Long Sequence Processing: A Survey on Recurrence in the Transformer Era
di: Tiezzi, Matteo, et al.
Pubblicazione: (2024)

Boosting Object Representation Learning via Motion and Object Continuity
di: Delfosse, Quentin, et al.
Pubblicazione: (2022)

Learning to Evaluate Autonomous Behaviour in Human-Robot Interaction
di: Tiezzi, Matteo, et al.
Pubblicazione: (2025)

FovEx: Human-Inspired Explanations for Vision Transformers and Convolutional Neural Networks
di: Panda, Mahadev Prasad, et al.
Pubblicazione: (2024)

A Unified Framework for Neural Computation and Learning Over Time
di: Melacci, Stefano, et al.
Pubblicazione: (2024)

Riemannian Motion Generation: A Unified Framework for Human Motion Representation and Generation via Riemannian Flow Matching
di: Miao, Fangran, et al.
Pubblicazione: (2026)

On the Resurgence of Recurrent Models for Long Sequences -- Survey and Research Opportunities in the Transformer Era
di: Tiezzi, Matteo, et al.
Pubblicazione: (2024)

Machine Learning Modeling for Multi-order Human Visual Motion Processing
di: Sun, Zitang, et al.
Pubblicazione: (2025)

Random Representations Outperform Online Continually Learned Representations
di: Prabhu, Ameya, et al.
Pubblicazione: (2024)

Unsupervised Learning of Unbiased Visual Representations
di: Barbano, Carlo Alberto, et al.
Pubblicazione: (2022)

Revisiting Supervision for Continual Representation Learning
di: Marczak, Daniel, et al.
Pubblicazione: (2023)

Learning Visual-Semantic Subspace Representations
di: Moreira, Gabriel, et al.
Pubblicazione: (2024)

Not Only Text: Exploring Compositionality of Visual Representations in Vision-Language Models
di: Berasi, Davide, et al.
Pubblicazione: (2025)

Learning Continuous Face Representation with Explicit Functions
di: Zhang, Liping, et al.
Pubblicazione: (2021)

Visual Imitation Learning with Calibrated Contrastive Representation
di: Wang, Yunke, et al.
Pubblicazione: (2024)

On the Role of Discrete Tokenization in Visual Representation Learning
di: Du, Tianqi, et al.
Pubblicazione: (2024)

Midway Network: Learning Representations for Recognition and Motion from Latent Dynamics
di: Hoang, Christopher, et al.
Pubblicazione: (2025)

From Diffusion to Flow: Efficient Motion Generation in MotionGPT3
di: Ban, Jaymin, et al.
Pubblicazione: (2026)

SigCLR: Sigmoid Contrastive Learning of Visual Representations
di: Çağatan, Ömer Veysel
Pubblicazione: (2024)

Mixed Autoencoder for Self-supervised Visual Representation Learning
di: Chen, Kai, et al.
Pubblicazione: (2023)

TerraFlow: Multimodal, Multitemporal Representation Learning for Earth Observation
di: Puriy, Nazar, et al.
Pubblicazione: (2026)

Knowledge Accumulation in Continually Learned Representations and the Issue of Feature Forgetting
di: Hess, Timm, et al.
Pubblicazione: (2023)

Pre-trained Visual Dynamics Representations for Efficient Policy Learning
di: Luo, Hao, et al.
Pubblicazione: (2024)

Unveiling the Backbone-Optimizer Coupling Bias in Visual Representation Learning
di: Li, Siyuan, et al.
Pubblicazione: (2024)

MeanFlow Transformers with Representation Autoencoders
di: Hu, Zheyuan, et al.
Pubblicazione: (2025)

Self-Organizing Visual Prototypes for Non-Parametric Representation Learning
di: Silva, Thalles, et al.
Pubblicazione: (2025)

Text-Conditional JEPA for Learning Semantically Rich Visual Representations
di: Huang, Chen, et al.
Pubblicazione: (2026)

Deep Learning for Skeleton Based Human Motion Rehabilitation Assessment: A Benchmark
di: Ismail-Fawaz, Ali, et al.
Pubblicazione: (2025)

Interpretable Network Visualizations: A Human-in-the-Loop Approach for Post-hoc Explainability of CNN-based Image Classification
di: Bianchi, Matteo, et al.
Pubblicazione: (2024)

Understanding the Effect of using Semantically Meaningful Tokens for Visual Representation Learning
di: Kalibhat, Neha, et al.
Pubblicazione: (2024)

Continuous Adversarial Flow Models
di: Lin, Shanchuan, et al.
Pubblicazione: (2026)

Enhancing Adversarial Robustness through Multi-Objective Representation Learning
di: Hotegni, Sedjro Salomon, et al.
Pubblicazione: (2024)

On-Device Continual Learning for Unsupervised Visual Anomaly Detection in Dynamic Manufacturing
di: Ren, Haoyu, et al.
Pubblicazione: (2025)

Dual-Stage Invariant Continual Learning under Extreme Visual Sparsity
di: Zhang, Rangya, et al.
Pubblicazione: (2026)

Continual Visual Reinforcement Learning with A Life-Long World Model
di: Pan, Minting, et al.
Pubblicazione: (2023)

Overcoming Catastrophic Forgetting in Visual Continual Learning with Reinforcement Fine-Tuning
di: Lou, Meng, et al.
Pubblicazione: (2026)

MRI-Based Brain Age Estimation with Supervised Contrastive Learning of Continuous Representation
di: Crête, Simon Joseph Clément, et al.
Pubblicazione: (2025)

TRec: Learning Hand-Object Interactions through 2D Point Track Motion
di: Holzmann, Dennis, et al.
Pubblicazione: (2026)

Tab2Visual: Overcoming Limited Data in Tabular Data Classification Using Deep Learning with Visual Representations
di: Mamdouh, Ahmed, et al.
Pubblicazione: (2025)