892 citations · 1.2k across the 5 of their papers we have counts for
5 papers · 1 filter
DPGN: Distribution Propagation Graph Network for Few-shot Learning
Ling Yang, Liangliang Li, Zilun Zhang +3
Most graph-network-based meta-learning approaches model instance-level relation of examples. We extend this idea further to explicitly model the distribution-level relation of one…
Learning Delicate Local Representations for Multi-Person Pose Estimation
Yuanhao Cai, Zhicheng Wang, Zhengxiong Luo +7
In this paper, we propose a novel method called Residual Steps Network (RSN). RSN aggregates features with the same spatial size (Intra-level features) efficiently to obtain delica…
ShuffleNet: An Extremely Efficient Convolutional Neural Network for Mobile Devices
Xiangyu Zhang, Xinyu Zhou, Mengxiao Lin +1
We introduce an extremely computation-efficient CNN architecture named ShuffleNet, which is designed specially for mobile devices with very limited computing power (e.g., 10-150 MF…
Scene Text Detection via Holistic, Multi-Channel Prediction
Cong Yao, Xiang Bai, Nong Sang +3
Recently, scene text detection has become an active research topic in computer vision and document analysis, because of its great importance and significant challenge. However, vas…
ICDAR 2015 Text Reading in the Wild Competition
Xinyu Zhou, Shuchang Zhou, Cong Yao +2
Recently, text detection and recognition in natural scenes are becoming increasing popular in the computer vision community as well as the document analysis community. However, maj…