相关参考文献
注意：仅列出部分参考文献，下载原文获取全部文献信息。Wider or Deeper: Revisiting the ResNet Model for Visual Recognition
Zifeng Wu et al.
PATTERN RECOGNITION (2019)
Learning Semantic Segmentation from Synthetic Data: A Geometrically Guided Input-Output Adaptation Approach
Yuhua Chen et al.
2019 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2019) (2019)
Augmented Reality Meets Computer Vision: Efficient Data Generation for Urban Driving Scenes
Hassan Abu Alhaija et al.
INTERNATIONAL JOURNAL OF COMPUTER VISION (2018)
Adaptive Batch Normalization for practical domain adaptation
Yanghao Li et al.
PATTERN RECOGNITION (2018)
Conditional Generative Adversarial Network for Structured Domain Adaptation
Weixiang Hong et al.
2018 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) (2018)
Real-Time Monocular Depth Estimation using Synthetic Data with Domain Adaptation via Image Style Transfer
Amir Atapour-Abarghouei et al.
2018 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) (2018)
Fully Convolutional Adaptation Networks for Semantic Segmentation
Yiheng Zhang et al.
2018 IEEE/CVF CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR) (2018)
Image-to-Image Translation with Conditional Adversarial Networks
Phillip Isola et al.
30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)
Densely Connected Convolutional Networks
Gao Huang et al.
30TH IEEE CONFERENCE ON COMPUTER VISION AND PATTERN RECOGNITION (CVPR 2017) (2017)
FlowNet: Learning Optical Flow with Convolutional Networks
Alexey Dosovitskiy et al.
2015 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV) (2015)
Guided Image Filtering
Kaiming He et al.
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE (2013)
Unsupervised Visual Domain Adaptation Using Subspace Alignment
Basura Fernando et al.
2013 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV) (2013)
Color transfer between images
E Reinhard et al.
IEEE COMPUTER GRAPHICS AND APPLICATIONS (2001)
Improving predictive inference under covariate shift by weighting the log-likelihood function
H Shimodaira
JOURNAL OF STATISTICAL PLANNING AND INFERENCE (2000)
分享论文
