Unsupervised Learning of Visual Representations Using Videos

Cited by (1,002)

Items 401–500 of 1,002

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2. Temporally Coherent Embeddings for Self-Supervised Video Representation Learning
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5. Ember
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6. Drop-DTW: Aligning Common Signal Between Sequences While Dropping Outliers
   Nikita Dvornik, Isma Hadji, Konstantinos G. Derpanis, Animesh Garg, Allan D. Jepson · 2021 · arXiv (Cornell University)
7. VPTR: Efficient Transformers for Video Prediction
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8. Data-free knowledge distillation via generator-free data generation for Non-IID federated learning
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9. Deep unsupervised learning of visual similarities
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10. Activity Driven Weakly Supervised Object Detection
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11. Object-Centric Representation Learning from Unlabeled Videos
    Ruohan Gao, Dinesh Jayaraman, Kristen Lorraine Grauman · 2017 · Lecture notes in computer science
12. Deep Unsupervised Similarity Learning Using Partially Ordered Sets
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13. Recent Advances in Deep Learning Techniques and Its Applications: An Overview
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14. MTSMAE: Masked Autoencoders for Multivariate Time-Series Forecasting
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15. Learning Spatiotemporal Features via Video and Text Pair Discrimination
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16. Pruning Convolutional Neural Networks with Self-Supervision
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17. Medical Transformer: Universal Brain Encoder for 3D MRI Analysis
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18. A weakly supervised method for makeup-invariant face verification
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19. Regularizing Deep Networks by Modeling and Predicting Label Structure
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20. Manipulating Attributes of Natural Scenes via Hallucination
    Levent Karacan, Zeynep Akata, Aykut Erdem, Erkut Erdem · 2019 · ACM Transactions on Graphics
21. Completely Self-supervised Crowd Counting via Distribution Matching
    Deepak Babu Sam, Abhinav Agarwalla, Jimmy Joseph, Vishwanath A. Sindagi, R. Venkatesh Babu, Vishal M. Patel · 2022 · Lecture notes in computer science
22. Contrastive Transformation for Self-supervised Correspondence Learning
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23. Self-Supervised Learning of Pose Embeddings from Spatiotemporal Relations in Videos
    Ömer Sümer, Tobias Dencker, Björn Ommer · 2017 · IEEE/CVF International Conference on Computer Vision (ICCV)
24. Unsupervised Video Representation Learning by Bidirectional Feature Prediction
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25. Robust Object Detection via Instance-Level Temporal Cycle Confusion
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26. Regularizing Visual Semantic Embedding With Contrastive Learning for Image-Text Matching
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27. Learning Visual Robotic Control Efficiently with Contrastive Pre-training and Data Augmentation
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28. SE3-Pose-Nets: Structured Deep Dynamics Models for Visuomotor Planning and Control
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29. Learning Image Representations Tied to Egomotion from Unlabeled Video
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30. 3-D Deconvolutional Networks for the Unsupervised Representation Learning of Human Motions
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31. Self-supervised data augmentation for person re-identification
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32. MAD: Self-Supervised Masked Anomaly Detection Task for Multivariate Time Series
    Yiwei Fu, Xue Feng · 2022 · International Joint Conference on Neural Networks (IJCNN)
33. Self-supervised learning of neighborhood embedding for longitudinal MRI
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34. Improving Conversational Recommender System Via Contextual and Time-Aware Modeling With Less Domain-Specific Knowledge
    Lingzhi Wang, Shafiq Joty, Wei Guang Gao, Xingshan Zeng, Kam‐Fai Wong · 2024 · IEEE Transactions on Knowledge and Data Engineering
35. Learning to Estimate 6DoF Pose from Limited Data: A Few-Shot, Generalizable Approach using RGB Images
    Pan Pan, Zhi-Wen Fan, Brandon Yushan Feng, Pei-Hao Wang, Chen-Xin Li, Zhang-Yang Wang · 2023 · International Conference on 3D Vision
36. Unsupervised Visual Representation Learning via Dual-Level Progressive Similar Instance Selection
    Hehe Fan, Ping Liu, Mingliang Xu, Yi Yang · 2021 · IEEE Transactions on Cybernetics
37. Lucid Data Dreaming for Multiple Object Tracking
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38. Contrasting Contrastive Self-Supervised Representation Learning Pipelines
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39. Towards better Chinese-centric neural machine translation for low-resource languages
    Bin Li, Yixuan Weng, Fei Xia, Hanjun Deng · 2023 · Computer Speech & Language
40. Segmentation in Weakly Labeled Videos via a Semantic Ranking and Optical Warping Network
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41. Graph Convolutional Networks for Learning with Few Clean and Many Noisy Labels
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42. PoseContrast: Class-Agnostic Object Viewpoint Estimation in the Wild with Pose-Aware Contrastive Learning
    Yang Xiao, Yuming Du, Renaud Marlet · 2021 · International Conference on 3D Vision (3DV)
43. An end-to-end tracking method for polyp detectors in colonoscopy videos
    Tao Yu, Ne Lin, Xu Zhang, Yanqi Pan, Huiyi Hu, Wenfang Zheng, Jiquan Liu, Weiling Hu, Huilong Duan, Jianmin Si · 2022 · Artificial Intelligence in Medicine
44. Self-Supervised Time Series Representation Learning by Inter-Intra Relational Reasoning
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45. Enhancing Interactive Image Retrieval With Query Rewriting Using Large Language Models and Vision Language Models
    Hongyi Zhu, Jia-Hong Huang, Stevan Rudinac, Evangelos Kanoulas · 2024 · International Conference on Multimedia Retrieval
46. Facial expression intensity estimation using Siamese and triplet networks
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47. Contrastive Learning of Image Representations with Cross-Video Cycle-Consistency
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48. HIER: Metric Learning Beyond Class Labels via Hierarchical Regularization
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49. Multi-level graph contrastive learning
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50. Self-Supervised Representation Learning from Flow Equivariance
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51. Representation Learning by Learning to Count
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52. 3D Shape Attributes
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53. Towards Building an Intelligent Chatbot for Customer Service
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54. Echo-SyncNet: Self-Supervised Cardiac View Synchronization in Echocardiography
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55. 3D Object Detection with a Self-supervised Lidar Scene Flow Backbone
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56. Spatio-temporal fusion and contrastive learning for urban flow prediction
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57. What Does Rotation Prediction Tell Us about Classifier Accuracy under Varying Testing Environments?
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58. Learning Pose Specific Representations by Predicting Different Views
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59. Multi-layer map: Augmenting semantic visual memory
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60. Unsupervised Visual Representation Learning by Tracking Patches in Video
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61. SSL++: Improving Self-Supervised Learning by Mitigating the Proxy Task-Specificity Problem
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62. Remote Sensing Image Scene Classification via Self-Supervised Learning and Knowledge Distillation
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63. Self-Taught Metric Learning without Labels
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64. Hierarchical Self-supervised Representation Learning for Movie Understanding
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65. SSCLNet: A Self-Supervised Contrastive Loss-Based Pre-Trained Network for Brain MRI Classification
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66. Online Object Representations with Contrastive Learning
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67. Learning to Segment Human by Watching YouTube
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68. Multi‐level image representation for large‐scale image‐based instance retrieval
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69. Hierarchically Decoupled Spatial-Temporal Contrast for Self-supervised Video Representation Learning
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70. Improving 2D Feature Representations by 3D-Aware Fine-Tuning
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71. Learning Natural Consistency Representation for Face Forgery Video Detection
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72. Unsupervised Learning of Eye Gaze Representation from the Web
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73. Learning Actionness via Long-Range Temporal Order Verification
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74. Integrating Large Language Models into Robotic Autonomy: A Review of Motion, Voice, and Training Pipelines
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75. Beta Scale Invariant Map
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76. Investigation of Pig Activity Based on Video Data and Semi-Supervised Neural Networks
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77. Ranked List Loss for Deep Metric Learning
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78. SCVRL: Shuffled Contrastive Video Representation Learning
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79. Self-Supervised Video-Based Action Recognition With Disturbances
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80. Effective Contexts for UAV Vehicle Detection
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81. Aligning Videos in Space and Time
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82. Unsupervised High-level Feature Learning by Ensemble Projection for Semi-supervised Image Classification and Image Clustering
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83. Unsupervised Learning of Face Representations
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84. A Closer Look at Invariances in Self-supervised Pre-training for 3D Vision
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85. PointClustering: Unsupervised Point Cloud Pre-training using Transformation Invariance in Clustering
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86. Learning Social Image Embedding with Deep Multimodal Attention Networks
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87. Anticipating Where People will Look Using Adversarial Networks
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88. Coincidence, Categorization, and Consolidation: Learning to Recognize Sounds with Minimal Supervision
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89. Thin-Slicing for Pose: Learning to Understand Pose without Explicit Pose Estimation
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90. A neural network trained to predict future video frames mimics critical properties of biological neuronal responses and perception
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91. Lucid Data Dreaming for Video Object Segmentation
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92. Unsupervised Video Understanding by Reconciliation of Posture Similarities
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93. An analysis of altitude, citizen science and a convolutional neural network feedback loop on object detection in Unmanned Aerial Systems
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94. Self-Supervised Motion Perception for Spatiotemporal Representation Learning
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95. MimCo: Masked Image Modeling Pre-training with Contrastive Teacher
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96. Self-supervised representation learning by predicting visual permutations
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97. CoCon: Cooperative-Contrastive Learning
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98. Rethinking preventing class-collapsing in metric learning with margin-based losses
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99. The Group Loss++: A Deeper Look Into Group Loss for Deep Metric Learning
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100. Gradients as Features for Deep Representation Learning
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