Self-Organizing Visual Prototypes for Non-Parametric Representation Learning
Fuente:
arXiv
Saved in:
| Main Authors: | Silva, Thalles, Pedrini, Helio, Rivera, Adín Ramírez |
|---|---|
| Format: | Preprint |
| Published: |
2025
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Learning from Memory: Non-Parametric Memory Augmented Self-Supervised Learning of Visual Features
by: Silva, Thalles, et al.
Published: (2024)
by: Silva, Thalles, et al.
Published: (2024)
Why Prototypes Collapse: Diagnosing and Preventing Partial Collapse in Prototypical Self-Supervised Learning
by: Arteaga, Gabriel Y., et al.
Published: (2025)
by: Arteaga, Gabriel Y., et al.
Published: (2025)
P-NOC: adversarial training of CAM generating networks for robust weakly supervised semantic segmentation priors
by: David, Lucas, et al.
Published: (2023)
by: David, Lucas, et al.
Published: (2023)
Weakly Supervised Attention-based Models Using Activation Maps for Citrus Mite and Insect Pest Classification
by: Bollis, Edson, et al.
Published: (2021)
by: Bollis, Edson, et al.
Published: (2021)
SPoT: Subpixel Placement of Tokens in Vision Transformers
by: Hjelkrem-Tan, Martine, et al.
Published: (2025)
by: Hjelkrem-Tan, Martine, et al.
Published: (2025)
Mixed Autoencoder for Self-supervised Visual Representation Learning
by: Chen, Kai, et al.
Published: (2023)
by: Chen, Kai, et al.
Published: (2023)
DOS: Distilling Observable Softmaps of Zipfian Prototypes for Self-Supervised Point Representation
by: Abdelsamad, Mohamed, et al.
Published: (2025)
by: Abdelsamad, Mohamed, et al.
Published: (2025)
A Framework for Generating Artificial Datasets to Validate Absolute and Relative Position Concepts
by: de Araújo, George Corrêa, et al.
Published: (2025)
by: de Araújo, George Corrêa, et al.
Published: (2025)
Extracting Symbolic Sequences from Visual Representations via Self-Supervised Learning
by: Pozos, Victor Sebastian Martinez, et al.
Published: (2025)
by: Pozos, Victor Sebastian Martinez, et al.
Published: (2025)
S-JEA: Stacked Joint Embedding Architectures for Self-Supervised Visual Representation Learning
by: Manová, Alžběta, et al.
Published: (2023)
by: Manová, Alžběta, et al.
Published: (2023)
Morphological Prototyping for Unsupervised Slide Representation Learning in Computational Pathology
by: Song, Andrew H., et al.
Published: (2024)
by: Song, Andrew H., et al.
Published: (2024)
Taming Cross-Domain Representation Variance in Federated Prototype Learning with Heterogeneous Data Domains
by: Wang, Lei, et al.
Published: (2024)
by: Wang, Lei, et al.
Published: (2024)
CCNeXt: An Effective Self-Supervised Stereo Depth Estimation Approach
by: Lopes, Alexandre, et al.
Published: (2025)
by: Lopes, Alexandre, et al.
Published: (2025)
Learning Visual-Semantic Subspace Representations
by: Moreira, Gabriel, et al.
Published: (2024)
by: Moreira, Gabriel, et al.
Published: (2024)
Deep Positive-Negative Prototypes for Adversarially Robust Discriminative Prototypical Learning
by: Sabzevar, Ramin Zarei, et al.
Published: (2025)
by: Sabzevar, Ramin Zarei, et al.
Published: (2025)
A Deep Positive-Negative Prototype Approach to Integrated Prototypical Discriminative Learning
by: Zarei-Sabzevar, Ramin, et al.
Published: (2025)
by: Zarei-Sabzevar, Ramin, et al.
Published: (2025)
Visual Imitation Learning with Calibrated Contrastive Representation
by: Wang, Yunke, et al.
Published: (2024)
by: Wang, Yunke, et al.
Published: (2024)
On the Role of Discrete Tokenization in Visual Representation Learning
by: Du, Tianqi, et al.
Published: (2024)
by: Du, Tianqi, et al.
Published: (2024)
Self-Distillation of Hidden Layers for Self-Supervised Representation Learning
by: Lowe, Scott C., et al.
Published: (2026)
by: Lowe, Scott C., et al.
Published: (2026)
Suppressing Non-Semantic Noise in Masked Image Modeling Representations
by: Hjelkrem-Tan, Martine, et al.
Published: (2026)
by: Hjelkrem-Tan, Martine, et al.
Published: (2026)
SigCLR: Sigmoid Contrastive Learning of Visual Representations
by: Çağatan, Ömer Veysel
Published: (2024)
by: Çağatan, Ömer Veysel
Published: (2024)
Seeing the Whole in the Parts in Self-Supervised Representation Learning
by: Aubret, Arthur, et al.
Published: (2025)
by: Aubret, Arthur, et al.
Published: (2025)
Semantic Concentration for Self-Supervised Dense Representations Learning
by: Wen, Peisong, et al.
Published: (2025)
by: Wen, Peisong, et al.
Published: (2025)
Unsupervised Representation Learning by Balanced Self Attention Matching
by: Shalam, Daniel, et al.
Published: (2024)
by: Shalam, Daniel, et al.
Published: (2024)
Learning with Mixture of Prototypes for Out-of-Distribution Detection
by: Lu, Haodong, et al.
Published: (2024)
by: Lu, Haodong, et al.
Published: (2024)
AdvAD: Exploring Non-Parametric Diffusion for Imperceptible Adversarial Attacks
by: Li, Jin, et al.
Published: (2025)
by: Li, Jin, et al.
Published: (2025)
Text-Conditional JEPA for Learning Semantically Rich Visual Representations
by: Huang, Chen, et al.
Published: (2026)
by: Huang, Chen, et al.
Published: (2026)
Pre-trained Visual Dynamics Representations for Efficient Policy Learning
by: Luo, Hao, et al.
Published: (2024)
by: Luo, Hao, et al.
Published: (2024)
Unveiling the Backbone-Optimizer Coupling Bias in Visual Representation Learning
by: Li, Siyuan, et al.
Published: (2024)
by: Li, Siyuan, et al.
Published: (2024)
Permutation Learning with Only N Parameters: From SoftSort to Self-Organizing Gaussians
by: Barthel, Kai Uwe, et al.
Published: (2025)
by: Barthel, Kai Uwe, et al.
Published: (2025)
Semi-Self Representation Learning for Crowdsourced WiFi Trajectories
by: Kuo, Yu-Lin, et al.
Published: (2025)
by: Kuo, Yu-Lin, et al.
Published: (2025)
Can Generative Models Improve Self-Supervised Representation Learning?
by: Ayromlou, Sana, et al.
Published: (2024)
by: Ayromlou, Sana, et al.
Published: (2024)
Neural Collapse by Design: Learning Class Prototypes on the Hypersphere
by: Koromilas, Panagiotis, et al.
Published: (2026)
by: Koromilas, Panagiotis, et al.
Published: (2026)
Closing the Alignment-Maturity Gap in Federated Prototype Learning
by: Casado-Diez, Mario, et al.
Published: (2026)
by: Casado-Diez, Mario, et al.
Published: (2026)
ADROIT: A Self-Supervised Framework for Learning Robust Representations for Active Learning
by: Banerjee, Soumya, et al.
Published: (2025)
by: Banerjee, Soumya, et al.
Published: (2025)
Understanding the Effect of using Semantically Meaningful Tokens for Visual Representation Learning
by: Kalibhat, Neha, et al.
Published: (2024)
by: Kalibhat, Neha, et al.
Published: (2024)
Identification of Deforestation Areas in the Amazon Rainforest Using Change Detection Models
by: Konishi, Christian Massao, et al.
Published: (2025)
by: Konishi, Christian Massao, et al.
Published: (2025)
RECAP: Local Hebbian Prototype Learning as a Self-Organizing Readout for Reservoir Dynamics
by: Zhang, Heng
Published: (2026)
by: Zhang, Heng
Published: (2026)
Self-Consistent Model-based Adaptation for Visual Reinforcement Learning
by: Zhou, Xinning, et al.
Published: (2025)
by: Zhou, Xinning, et al.
Published: (2025)
Self-Organising Neural Discrete Representation Learning à la Kohonen
by: Irie, Kazuki, et al.
Published: (2023)
by: Irie, Kazuki, et al.
Published: (2023)
Similar Items
-
Learning from Memory: Non-Parametric Memory Augmented Self-Supervised Learning of Visual Features
by: Silva, Thalles, et al.
Published: (2024) -
Why Prototypes Collapse: Diagnosing and Preventing Partial Collapse in Prototypical Self-Supervised Learning
by: Arteaga, Gabriel Y., et al.
Published: (2025) -
P-NOC: adversarial training of CAM generating networks for robust weakly supervised semantic segmentation priors
by: David, Lucas, et al.
Published: (2023) -
Weakly Supervised Attention-based Models Using Activation Maps for Citrus Mite and Insect Pest Classification
by: Bollis, Edson, et al.
Published: (2021) -
SPoT: Subpixel Placement of Tokens in Vision Transformers
by: Hjelkrem-Tan, Martine, et al.
Published: (2025)