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Self-Supervised Learning

8255 directly classified papers

Papers per year

Papers

Canonical Surface Mapping via Geometric Cycle Consistency ICCV 2019
Through-Wall Human Mesh Recovery Using Radio Signals ICCV 2019
Boosting Few-Shot Visual Learning With Self-Supervision ICCV 2019
VideoBERT: A Joint Model for Video and Language Representation Learning ICCV 2019
Second-Order Non-Local Attention Networks for Person Re-Identification ICCV 2019
Enhancing 2D Representation via Adjacent Views for 3D Shape Retrieval ICCV 2019
Diversity With Cooperation: Ensemble Methods for Few-Shot Classification ICCV 2019
Beyond Human Parts: Dual Part-Aligned Representations for Person Re-Identification ICCV 2019
Self-Supervised Representation Learning From Multi-Domain Data ICCV 2019
Neural Inverse Rendering of an Indoor Scene From a Single Image ICCV 2019
Hyperspectral Image Reconstruction Using Deep External and Internal Learning ICCV 2019
Self-Training With Progressive Augmentation for Unsupervised Cross-Domain Person Re-Identification ICCV 2019
Self-Supervised Representation Learning via Neighborhood-Relational Encoding ICCV 2019
Identity From Here, Pose From There: Self-Supervised Disentanglement and Generation of Objects Using Unlabeled Videos ICCV 2019
Learning an Effective Equivariant 3D Descriptor Without Supervision ICCV 2019
SynDeMo: Synergistic Deep Feature Alignment for Joint Learning of Depth and Ego-Motion ICCV 2019
Unsupervised Pre-Training of Image Features on Non-Curated Data ICCV 2019
Sequential Adversarial Learning for Self-Supervised Deep Visual Odometry ICCV 2019
Self-Supervised Monocular Depth Hints ICCV 2019
Vision-Infused Deep Audio Inpainting ICCV 2019
Unsupervised Multi-Task Feature Learning on Point Clouds ICCV 2019
Self-Ensembling With GAN-Based Data Augmentation for Domain Adaptation in Semantic Segmentation ICCV 2019
Dual Student: Breaking the Limits of the Teacher in Semi-Supervised Learning ICCV 2019
DynamoNet: Dynamic Action and Motion Network ICCV 2019
Tree Transformer: Integrating Tree Structures into Self-Attention EMNLP 2019