in Deep Learning / Computer Vision
Qing Lian, Wen Li, Lin Chen, Lixin Duan. Known-class Aware Self-ensemble for Open Set Domain Adaptation. In arXiv preprint.
尚未被 conference 接收，於 3 May 2019 提交至 arXiv.
in Deep Learning / Computer Vision
Geoffrey French, Michal Mackiewicz, Mark Fisher. “Self-ensembling for visual domain adaptation”. In ICLR’18.
ICLR 2018 Paper
in Deep Learning / Computer Vision
Kuniaki Saito, Shohei Yamamoto, Yoshitaka Ushiku, Tatsuya Harada. “Open Set Domain Adaptation by Backpropagation”. In ECCV’18.
ECCV 2018 Paper
in Deep Learning / Computer Vision
Yunsheng Li, Lu Yuan, Nuno Vasconcelos. “Bidirectional Learning for Domain Adaptation of Semantic Segmentation”. In CVPR’19.
CVPR 2019 Paper
in Deep Learning / Computer Vision
Yawei Luo, Liang Zheng, Tao Guan, Junqing Yu, Yi Yang. “Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation”. In CVPR’19.
CVPR 2019 Paper
in Deep Learning / Computer Vision
Rui Gong, Wen Li, Yuhua Chen, Luc Van Gool. “DLOW: Domain Flow for Adaptation and Generalization”. In CVPR’19.
CVPR 2019 Paper
in Deep Learning / Computer Vision
Daniel Bolya, Chong Zhou, Fanyi Xiao, Yong Jae Lee. “YOLACT: Real-time Instance Segmentation”. In ArXiv preprint.
此論文於 4 Apr 2019 提交至 Arxiv，目前尚未被 Conference 接收。
in Deep Learning / Computer Vision
Ke Sun, Bin Xiao, Dong Liu, Jingdong Wang. “Deep High-Resolution Representation Learning for Human Pose Estimation”. In CVPR’19.
CVPR’19 paper
in Deep Learning / Computer Vision
Yifan Liu, Ke Chen, Chris Liu, Zengchang Qin, Zhenbo Luo, Jingdong Wang. “Structured Knowledge Distillation for Semantic Segmentation”. In CVPR’19.
CVPR’19 paper
in Deep Learning / Computer Vision
Hisham Cholakkal, Guolei Sun (equal contribution), Fahad Shahbaz Khan, Ling Shao. “Object Counting and Instance Segmentation with Image-level Supervision”. In CVPR’19.
CVPR’19 paper