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Domain Adaptation

8,656 papers

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Papers

Geometric Unsupervised Domain Adaptation for Semantic Segmentation ICCV 2021
Unsupervised Real-World Super-Resolution: A Domain Adaptation Perspective ICCV 2021
Cross-Camera Convolutional Color Constancy ICCV 2021
CCT-Net: Category-Invariant Cross-Domain Transfer for Medical Single-to-Multiple Disease Diagnosis ICCV 2021
Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning ICCV 2021
T-SVDNet: Exploring High-Order Prototypical Correlations for Multi-Source Domain Adaptation ICCV 2021
Real-World Video Super-Resolution: A Benchmark Dataset and a Decomposition Based Learning Scheme ICCV 2021
From General to Specific: Informative Scene Graph Generation via Balance Adjustment ICCV 2021
SENTRY: Selective Entropy Optimization via Committee Consistency for Unsupervised Domain Adaptation ICCV 2021
Self-Supervised Domain Adaptation for Forgery Localization of JPEG Compressed Images ICCV 2021
Deep Symmetric Network for Underexposed Image Enhancement With Recurrent Attentional Learning ICCV 2021
Towards Discriminative Representation Learning for Unsupervised Person Re-Identification ICCV 2021
Big Self-Supervised Models Advance Medical Image Classification ICCV 2021
TransferI2I: Transfer Learning for Image-to-Image Translation From Small Datasets ICCV 2021
SynFace: Face Recognition With Synthetic Data ICCV 2021
NASOA: Towards Faster Task-Oriented Online Fine-Tuning With a Zoo of Models ICCV 2021
ECACL: A Holistic Framework for Semi-Supervised Domain Adaptation ICCV 2021
PIT: Position-Invariant Transform for Cross-FoV Domain Adaptation ICCV 2021
H3D-Net: Few-Shot High-Fidelity 3D Head Reconstruction ICCV 2021
Generalized Source-Free Domain Adaptation ICCV 2021
Self-Mutating Network for Domain Adaptive Segmentation in Aerial Images ICCV 2021
Sensor-Guided Optical Flow ICCV 2021
GistNet: A Geometric Structure Transfer Network for Long-Tailed Recognition ICCV 2021
Personalized Image Semantic Segmentation ICCV 2021
Boosting the Generalization Capability in Cross-Domain Few-Shot Learning via Noise-Enhanced Supervised Autoencoder ICCV 2021