Cover Image

Weak Augmentation Guided Relational Self-Supervised Learning

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zheng, Mingkai, You, Shan, Wang, Fei, Qian, Chen, Zhang, Changshui, Wang, Xiaogang, Xu, Chang
Format:	Preprint
Published:	2022
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

How Well Do Self-Supervised Methods Perform in Cross-Domain Few-Shot Learning?
by: Zhang, Yiyi, et al.
Published: (2022)

Generalized Semi-Supervised Learning via Self-Supervised Feature Adaptation
by: Liang, Jiachen, et al.
Published: (2024)

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

Deep Augmentation: Dropout as Augmentation for Self-Supervised Learning
by: Brüel-Gabrielsson, Rickard, et al.
Published: (2023)

SSL-Cleanse: Trojan Detection and Mitigation in Self-Supervised Learning
by: Zheng, Mengxin, et al.
Published: (2023)

CLIP-Guided Adaptable Self-Supervised Learning for Human-Centric Visual Tasks
by: Luo, Mingshuang, et al.
Published: (2026)

Augmentations vs Algorithms: What Works in Self-Supervised Learning
by: Morningstar, Warren, et al.
Published: (2024)

Semantic Prompt Learning for Weakly-Supervised Semantic Segmentation
by: Lin, Ci-Siang, et al.
Published: (2024)

ProxyFL: A Proxy-Guided Framework for Federated Semi-Supervised Learning
by: Chen, Duowen, et al.
Published: (2026)

Semi-Supervised Learning with Multi-Head Co-Training
by: Chen, Mingcai, et al.
Published: (2021)

Image Augmentation Agent for Weakly Supervised Semantic Segmentation
by: Wu, Wangyu, et al.
Published: (2024)

Self-Supervised Learning with Probabilistic Density Labeling for Rainfall Probability Estimation
by: Lee, Junha, et al.
Published: (2024)

Exploring Transferability of Self-Supervised Learning by Task Conflict Calibration
by: Guo, Huijie, et al.
Published: (2025)

Pose-Aware Self-Supervised Learning with Viewpoint Trajectory Regularization
by: Wang, Jiayun, et al.
Published: (2024)

Erasing Self-Supervised Learning Backdoor by Cluster Activation Masking
by: Qian, Shengsheng, et al.
Published: (2023)

Branch-Tuning: Balancing Stability and Plasticity for Continual Self-Supervised Learning
by: Liu, Wenzhuo, et al.
Published: (2024)

Weakly Supervised Segmentation of Vertebral Bodies with Iterative Slice-propagation
by: Peng, Shiqi, et al.
Published: (2024)

Learning from Memory: Non-Parametric Memory Augmented Self-Supervised Learning of Visual Features
by: Silva, Thalles, et al.
Published: (2024)

Learning Robust Classifiers with Self-Guided Spurious Correlation Mitigation
by: Zheng, Guangtao, et al.
Published: (2024)

Forecasting Epileptic Seizures from Contactless Camera via Cross-Species Transfer Learning
by: Zhai, Mingkai, et al.
Published: (2026)

Image Augmentation with Controlled Diffusion for Weakly-Supervised Semantic Segmentation
by: Wu, Wangyu, et al.
Published: (2023)

Synergy-Guided Regional Supervision of Pseudo Labels for Semi-Supervised Medical Image Segmentation
by: Wang, Tao, et al.
Published: (2024)

Learning to Segment using Summary Statistics and Weak Supervision
by: Kulkarni, Omkar, et al.
Published: (2026)

On the Generalization and Causal Explanation in Self-Supervised Learning
by: Qiang, Wenwen, et al.
Published: (2024)

Decoupled Video Generation with Chain of Training-free Diffusion Model Experts
by: Li, Wenhao, et al.
Published: (2024)

Weakly-Supervised Temporal Action Localization by Progressive Complementary Learning
by: Du, Jia-Run, et al.
Published: (2022)

In-Context Symmetries: Self-Supervised Learning through Contextual World Models
by: Gupta, Sharut, et al.
Published: (2024)

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

IBMA: An Imputation-Based Mixup Augmentation Using Self-Supervised Learning for Time Series Data
by: Nguyen, Dang Nha, et al.
Published: (2025)

You Don't Need Domain-Specific Data Augmentations When Scaling Self-Supervised Learning
by: Moutakanni, Théo, et al.
Published: (2024)

Advancing Comprehensive Aesthetic Insight with Multi-Scale Text-Guided Self-Supervised Learning
by: Liu, Yuti, et al.
Published: (2024)

On-the-Fly Data Augmentation via Gradient-Guided and Sample-Aware Influence Estimation
by: Yang, Suorong, et al.
Published: (2025)

Learning Weakly Supervised Audio-Visual Violence Detection in Hyperbolic Space
by: Peng, Xiaogang, et al.
Published: (2023)

Mind the Gap: Confidence Discrepancy Can Guide Federated Semi-Supervised Learning Across Pseudo-Mismatch
by: Liu, Yijie, et al.
Published: (2025)

MapRF: Weakly Supervised Online HD Map Construction via NeRF-Guided Self-Training
by: Lyu, Hongyu, et al.
Published: (2025)

Investigating and Mitigating the Side Effects of Noisy Views for Self-Supervised Clustering Algorithms in Practical Multi-View Scenarios
by: Xu, Jie, et al.
Published: (2023)

Semantic Concentration for Self-Supervised Dense Representations Learning
by: Wen, Peisong, et al.
Published: (2025)

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

Instance-Aware Pseudo-Labeling and Class-Focused Contrastive Learning for Weakly Supervised Domain Adaptive Segmentation of Electron Microscopy
by: Xiong, Shan, et al.
Published: (2025)

Seeing Realism from Simulation: Efficient Video Transfer for Vision-Language-Action Data Augmentation
by: Hui, Chenyu, et al.
Published: (2026)