Cover Image

Semantic Concentration for Self-Supervised Dense Representations Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Wen, Peisong, Xu, Qianqian, Dai, Siran, Cong, Runmin, Huang, Qingming
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Exploring Structural Degradation in Dense Representations for Self-supervised Learning
by: Dai, Siran, et al.
Published: (2025)

Self-supervised Representation Learning with Local Aggregation for Image-based Profiling
by: Dai, Siran, et al.
Published: (2025)

When the Future Becomes the Past: Taming Temporal Correspondence for Self-supervised Video Representation Learning
by: Liu, Yang, et al.
Published: (2025)

From Static to Dynamic: Exploring Self-supervised Image-to-Video Representation Transfer Learning
by: Liu, Yang, et al.
Published: (2026)

Not All Pairs are Equal: Hierarchical Learning for Average-Precision-Oriented Video Retrieval
by: Liu, Yang, et al.
Published: (2024)

HiGFA: Hierarchical Guidance for Fine-grained Data Augmentation with Diffusion Models
by: Lu, Zhiguang, et al.
Published: (2025)

Regularized Contrastive Partial Multi-view Outlier Detection
by: Wang, Yijia, et al.
Published: (2024)

AUCSeg: AUC-oriented Pixel-level Long-tail Semantic Segmentation
by: Han, Boyu, et al.
Published: (2024)

Bootstrapping Physics-Grounded Video Generation through VLM-Guided Iterative Self-Refinement
by: Liu, Yang, et al.
Published: (2025)

Top-K Pairwise Ranking: Bridging the Gap Among Ranking-Based Measures for Multi-Label Classification
by: Wang, Zitai, et al.
Published: (2024)

ReconBoost: Boosting Can Achieve Modality Reconcilement
by: Hua, Cong, et al.
Published: (2024)

Self-Distillation of Hidden Layers for Self-Supervised Representation Learning
by: Lowe, Scott C., et al.
Published: (2026)

Guiding Diffusion-based Reconstruction with Contrastive Signals for Balanced Visual Representation
by: Han, Boyu, et al.
Published: (2026)

Seeing the Whole in the Parts in Self-Supervised Representation Learning
by: Aubret, Arthur, et al.
Published: (2025)

PRCL: Probabilistic Representation Contrastive Learning for Semi-Supervised Semantic Segmentation
by: Xie, Haoyu, et al.
Published: (2024)

Can Generative Models Improve Self-Supervised Representation Learning?
by: Ayromlou, Sana, et al.
Published: (2024)

Selective Masking based Self-Supervised Learning for Image Semantic Segmentation
by: Wang, Yuemin, et al.
Published: (2025)

Closing the Approximation Gap of Partial AUC Optimization: A Tale of Two Formulations
by: Jiang, Yangbangyan, et al.
Published: (2025)

ADROIT: A Self-Supervised Framework for Learning Robust Representations for Active Learning
by: Banerjee, Soumya, et al.
Published: (2025)

A Unified Perspective for Loss-Oriented Imbalanced Learning via Localization
by: Wang, Zitai, et al.
Published: (2023)

Explicit Mutual Information Maximization for Self-Supervised Learning
by: Chang, Lele, et al.
Published: (2024)

Size-invariance Matters: Rethinking Metrics and Losses for Imbalanced Multi-object Salient Object Detection
by: Li, Feiran, et al.
Published: (2024)

Learning Object Semantic Similarity with Self-Supervision
by: Aubret, Arthur, et al.
Published: (2024)

DRESS: Disentangled Representation-based Self-Supervised Meta-Learning for Diverse Tasks
by: Cui, Wei, et al.
Published: (2025)

Extracting Symbolic Sequences from Visual Representations via Self-Supervised Learning
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)

IConE: Batch Independent Collapse Prevention for Self-Supervised Representation Learning
by: Almpanakis, Konstantinos, et al.
Published: (2026)

ProFeAT: Projected Feature Adversarial Training for Self-Supervised Learning of Robust Representations
by: Addepalli, Sravanti, et al.
Published: (2024)

Enhancing Pre-trained Representation Classifiability can Boost its Interpretability
by: Shen, Shufan, et al.
Published: (2025)

LightFair: Towards an Efficient Alternative for Fair T2I Diffusion via Debiasing Pre-trained Text Encoders
by: Han, Boyu, et al.
Published: (2025)

Dual-Stage Reweighted MoE for Long-Tailed Egocentric Mistake Detection
by: Han, Boyu, et al.
Published: (2025)

DirMixE: Harnessing Test Agnostic Long-tail Recognition with Hierarchical Label Vartiations
by: Yang, Zhiyong, et al.
Published: (2024)

Understanding-Enhanced Model Collaboration for Long-Tailed Egocentric Mistake Detection
by: Han, Boyu, et al.
Published: (2026)

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

Variational Self-Supervised Learning
by: Yavuz, Mehmet Can, et al.
Published: (2025)

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

Weak Augmentation Guided Relational Self-Supervised Learning
by: Zheng, Mingkai, et al.
Published: (2022)

Learn Faster and Remember More: Balancing Exploration and Exploitation for Continual Test-time Adaptation
by: Yang, Pinci, et al.
Published: (2025)

Context-Based Semantic-Aware Alignment for Semi-Supervised Multi-Label Learning
by: Fan, Heng-Bo, et al.
Published: (2024)

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