85 citations · 201 across the 15 of their papers we have counts for
6 papers · 1 filter
Net: Augmented Parallel-Pyramid Net for Attention Guided Pose Estimation
Luanxuan Hou, Jie Cao, Yuan Zhao +3
We propose an augmented Parallel-Pyramid Net () with feature refinement by dilated bottleneck and attention module. During data preprocessing, we proposed a differentiable…
Single Image Super-Resolution via a Holistic Attention Network
Ben Niu, Weilei Wen, Wenqi Ren +6
Informative features play a crucial role in the single image super-resolution task. Channel attention has been demonstrated to be effective for preserving information-rich features…
PropagationNet: Propagate Points to Curve to Learn Structure Information
Xiehe Huang, Weihong Deng, Haifeng Shen +2
Deep learning technique has dramatically boosted the performance of face alignment algorithms. However, due to large variability and lack of samples, the alignment problem in uncon…
Mutual Learning Network for Multi-Source Domain Adaptation
Zhenpeng Li, Zhen Zhao, Yuhong Guo +2
Early Unsupervised Domain Adaptation (UDA) methods have mostly assumed the setting of a single source domain, where all the labeled source data come from the same distribution. How…
Augmented Parallel-Pyramid Net for Attention Guided Pose-Estimation
Luanxuan Hou, Jie Cao, Yuan Zhao +4
The target of human pose estimation is to determine body part or joint locations of each person from an image. This is a challenging problems with wide applications. To address thi…
Adaptive Object Detection with Dual Multi-Label Prediction
Zhen Zhao, Yuhong Guo, Haifeng Shen +1
In this paper, we propose a novel end-to-end unsupervised deep domain adaptation model for adaptive object detection by exploiting multi-label object recognition as a dual auxiliar…