Imagen de Portada

Masked Capsule Autoencoders

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Everett, Miles, Zhong, Mingjun, Leontidis, Georgios
Formato:	Preprint
Publicado:	2024
Materias:	Computer Vision and Pattern Recognition
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

ProtoCaps: A Fast and Non-Iterative Capsule Network Routing Method
por: Everett, Miles, et al.
Publicado: (2023)

Capsule Network Projectors are Equivariant and Invariant Learners
por: Everett, Miles, et al.
Publicado: (2024)

LeOCLR: Leveraging Original Images for Contrastive Learning of Visual Representations
por: Alkhalefi, Mohammad, et al.
Publicado: (2024)

Semantic Positive Pairs for Enhancing Visual Representation Learning of Instance Discrimination Methods
por: Alkhalefi, Mohammad, et al.
Publicado: (2023)

EquiCaps: Predictor-Free Pose-Aware Pre-Trained Capsule Networks
por: Konstantinou, Athinoulla, et al.
Publicado: (2025)

S-JEA: Stacked Joint Embedding Architectures for Self-Supervised Visual Representation Learning
por: Manová, Alžběta, et al.
Publicado: (2023)

HiAP: A Multi-Granular Stochastic Auto-Pruning Framework for Vision Transformers
por: Li, Andy, et al.
Publicado: (2026)

Improving Masked Autoencoders by Learning Where to Mask
por: Chen, Haijian, et al.
Publicado: (2023)

Recurrent Video Masked Autoencoders
por: Zoran, Daniel, et al.
Publicado: (2025)

Self-Guided Masked Autoencoder
por: Shin, Jeongwoo, et al.
Publicado: (2025)

Exploring Self-Supervised Learning with U-Net Masked Autoencoders and EfficientNet-B7 for Improved Gastrointestinal Abnormality Classification in Video Capsule Endoscopy
por: Kancharla, Vamshi Krishna, et al.
Publicado: (2024)

Audiovisual Masked Autoencoders
por: Georgescu, Mariana-Iuliana, et al.
Publicado: (2022)

Multimodal Federated Learning With Missing Modalities through Feature Imputation Network
por: Poudel, Pranav, et al.
Publicado: (2025)

Rethinking Patch Dependence for Masked Autoencoders
por: Fu, Letian, et al.
Publicado: (2024)

Text-Guided Video Masked Autoencoder
por: Fan, David, et al.
Publicado: (2024)

Efficient Masked Autoencoders with Self-Consistency
por: Li, Zhaowen, et al.
Publicado: (2023)

Masked Autoencoders are Robust Data Augmentors
por: Xu, Haohang, et al.
Publicado: (2022)

Getting the Numbers Right$\unicode{x2014}$Modelling Multi-Class Object Counting in Dense and Varied Scenes
por: O'Reilly, Villanelle, et al.
Publicado: (2025)

Gaussian Masked Autoencoders
por: Rajasegaran, Jathushan, et al.
Publicado: (2025)

Extending Video Masked Autoencoders to 128 frames
por: Gundavarapu, Nitesh Bharadwaj, et al.
Publicado: (2024)

MARMOT: Masked Autoencoder for Modeling Transient Imaging
por: Shen, Siyuan, et al.
Publicado: (2025)

Contrastive Masked Autoencoders are Stronger Vision Learners
por: Huang, Zhicheng, et al.
Publicado: (2022)

R-MAE: Regions Meet Masked Autoencoders
por: Nguyen, Duy-Kien, et al.
Publicado: (2023)

MEGA: Masked Generative Autoencoder for Human Mesh Recovery
por: Fiche, Guénolé, et al.
Publicado: (2024)

Masked Autoencoders are Parameter-Efficient Federated Continual Learners
por: He, Yuchen, et al.
Publicado: (2024)

Masked Angle-Aware Autoencoder for Remote Sensing Images
por: Li, Zhihao, et al.
Publicado: (2024)

VAMAE: Vessel-Aware Masked Autoencoders for OCT Angiography
por: Abolade, Ilerioluwakiiye, et al.
Publicado: (2026)

Pushing the Limits of Sparsity: A Bag of Tricks for Extreme Pruning
por: Li, Andy, et al.
Publicado: (2024)

MaskMatch: Boosting Semi-Supervised Learning Through Mask Autoencoder-Driven Feature Learning
por: Zhang, Wenjin, et al.
Publicado: (2024)

Emotic Masked Autoencoder with Attention Fusion for Facial Expression Recognition
por: Nguyen-Xuan, Bach, et al.
Publicado: (2024)

Transformer with Leveraged Masked Autoencoder for video-based Pain Assessment
por: Nguyen, Minh-Duc, et al.
Publicado: (2024)

PCP-MAE: Learning to Predict Centers for Point Masked Autoencoders
por: Zhang, Xiangdong, et al.
Publicado: (2024)

MV2MAE: Multi-View Video Masked Autoencoders
por: Shah, Ketul, et al.
Publicado: (2024)

VideoMAC: Video Masked Autoencoders Meet ConvNets
por: Pei, Gensheng, et al.
Publicado: (2024)

Continual Self-Supervised Learning with Masked Autoencoders in Remote Sensing
por: Möllenbrok, Lars, et al.
Publicado: (2025)

DiffPMAE: Diffusion Masked Autoencoders for Point Cloud Reconstruction
por: Li, Yanlong, et al.
Publicado: (2023)

Masked Autoencoder Self Pre-Training for Defect Detection in Microelectronics
por: Röhrich, Nikolai, et al.
Publicado: (2025)

T-MAE: Temporal Masked Autoencoders for Point Cloud Representation Learning
por: Wei, Weijie, et al.
Publicado: (2023)

Masked Registration and Autoencoding of CT Images for Predictive Tibia Reconstruction
por: Zhou, Hongyou, et al.
Publicado: (2025)

Beyond Random Masking: A Dual-Stream Approach for Rotation-Invariant Point Cloud Masked Autoencoders
por: Yin, Xuanhua, et al.
Publicado: (2025)