Self-Supervised Representation Learning by Rotation Feature Decoupling

Feng, Zeyu, Xu, Chang, Tao, Dacheng·2019·2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
DOI 10.1109/cvpr.2019.01061

Cited by (226)

Items 201–226 of 226

  1. Discovering Discriminative Geometric Features with Self-Supervised Attention for Vehicle Re-Identification and Beyond.
    Ming Li, Xinming Huang, Ziming Zhang · 2020 · arXiv (Cornell University)
  2. Concurrent Discrimination and Alignment for Self-Supervised Feature Learning
    Anjan Dutta, Massimiliano Mancini, Zeynep Akata · 2021 · IEEE International Conference on Computer Vision Workshops
  3. ScaleNet: An Unsupervised Representation Learning Method for Limited Information
    Huili Huang, Max Mahdi Roozbahani · 2021 · Lecture notes in computer science
  4. Triplet Decoupling Network for Masked Face Verification
    Yuechao Guo, Jie Wen, Jingyong Su, Yong Dong Xu · 2021 · Asian Conference on Artificial Intelligence Technology (ACAIT)
  5. Media Engineering
    Norio Tagawa, Shuhei Tarashima, Shuhei Yoshida, Kei Kawamura, Masahiro Tada, Hiroyuki Arai · 2020 · The Journal of The Institute of Image Information and Television Engineers
  6. RIS-GAN: Self-Supervised GANs via Recovering Initial State of Subimages
    Ying Wei, Jianwei Zhang, Longqi Zhong · 2022 · Pattern Recognition Letters
  7. EMCLR: Expectation Maximization Contrastive Learning Representations
    Meng Liu, Ran Yi, Lizhuang Ma · 2023 · IEEE International Conference on Acoustics Speech and Signal Processing
  8. SS-FL: Self-Supervised Federated Learning for COVID-19 Detection from Chest X-Ray Images
    Ines Feki, Sourour Ammar, Yousri Kessentini · 2023 · Communications in computer and information science
  9. Feature Extraction of the Synchronization Behavior between Subjects During a Conversation using a Neural Network Model
    Yuya Okadome, Yutaka Nakamura · 2023 · Journal of the Robotics Society of Japan
  10. Class-Agnostic Self-Supervised Learning for Image Angle Classification
    Hyeonseok Kim, Yeejin Lee · 2023 · International Conference on Control, Automation and Systems (ICCAS)
  11. Evaluating self-supervised pre-training in out-of-distribution and low-data scenarios
    Levy Gurgel Chaves · 2022
  12. Image Classification Based on Improved Unsupervised Clustering Algorithm
    Yichao Wang, Chunzhi Wang, Lingyu Yan · 2024 · Communications in computer and information science
  13. Self-supervised CondenseNet for feature learning to increase the accuracy in image classification
    Mahmoud Darvish-Motevali, Mohammad Karim Sohrabi, Israfil Roshdi · 2024 · Multimedia Tools and Applications
  14. Synergetic proto-pull and reciprocal points for open set recognition
    Xin Deng, Luyao Yang, Ao Zhang, Jingwen Wang, Hexu Wang, Tianzhang Xing, Pengfei Xu · 2024 · Machine Vision and Applications
  15. Integração de processamento de imagens e aprendizado de máquina na identificação de cáries em imagens de tomografia.
    Luiz Guilherme Kasputis Zanini · 2024 · Digital Library of Theses and Dissertations (Universidade de São Paulo)
  16. Architecture-Agnostic Unsupervised Gradient Regularization for Parameter-Efficient Transfer Learning
    Wenjie Zhu, Yabin Zhang, Pengfei Wang, Xin Jin, Wenjun Zeng, Lei Zhang · 2025 · Lecture notes in computer science
  17. FedDAR: Federated Learning With Data-Quantity Aware Regularization for Heterogeneous Distributed Data
    Youngjun Kwak, Min-Young Jung · 2025 · IEEE Access
  18. HRI: Harmonizing Rotation Invariance for Remote Sensing Pretraining Model
    Shanjuan Chen, Yunlong Yu, Yingming Li, Zhao Wang, Chao Wu, Fei Deng, Jungong Han · 2025 · IEEE Transactions on Geoscience and Remote Sensing
  19. Robust Facial Expression Recognition via Symmetry Exploitation and Adaptive Neighborhood Label Correction
    Kang Shen, Xiao Ling Sun, Xuxiong Liu · 2025 · International Joint Conference on Neural Networks (IJCNN)
  20. Towards Better Few-Shot Learning Embeddings via Full-Pipeline Augmentation
    Zhiyuan Song, Kezhao Liu, Yiming Liu, Yuchen Liu · 2025 · International Conference on Image Processing, Multimedia Technology and Machine Learning (IPMML)
  21. Robust image representation for classification, retrieval and object discovery
    Oriane Siméoni · 2020 · theses.fr (ABES)
  22. Self-supervised learning of deep visual representations
    Mathilde Caron · 2021 · theses.fr (ABES)
  23. Improving control of neural networks facing visual perturbations
    Thomas Cordier · 2025 · theses.fr (ABES)
  24. BrainDEC: An M/EEG Unsupervised Representation Learning Framework with Disentangled Equivariance Constraint
    Xingyuan Song, Qiong Li, Haokun Mao, Yongdong Fan · 2026 · Interdisciplinary Sciences Computational Life Sciences
  25. SQL injection detection using self-supervised pre-training and multimodal techniques
    Paul Ntim Yeboah, A. S. M. Kayes, Wenny J. Rahayu, Eric Pardede, Syed Mahbub · 2026 · Intelligent Systems with Applications
  26. Synthetic colorectal cancer histologic images via StyleGAN3: Enhancing database diversity and model ability
    Xie Xiao, Wu Yinhang, Yu Jikai, Wu boyuan, Zhou Shicheng, Liang Hu, Yu Xiaojian, Zhiqin Chen, Huang Bo, Yating Xu et al. · 2026 · Array