.png){kind=icon}
返回
Monocular Viewpoints Estimation for Generic Objects in the Wild
.png){kind=icon}
OA
AI
DOI：10.1109/ACCESS.2019.2923436.png)
.png){kind=icon}
.png){kind=icon}
分享.png){kind=icon}
收藏
摘要
En 中文
Although classification-based approaches achieved remarkable performance in viewpoints estimation, they still have limitations and face the challenging viewpoints ambiguity problem. In this paper, we analyze this problem and give solutions: 1) we propose Viewpoint Discernibility Matrix (VDM) loss, which is a more suitable loss than the one-hot cross-entropy loss by tolerating the sub-optimal predictions and penalizing the wrong predictions on ambiguous viewpoints; and 2) we propose Auxiliary Hierarchical Viewpoints Supervision (AHVS) method, which is able to restrain the network to pay closer attention to the features of ambiguous viewpoints. Training with VDM loss and AHVS, the model is endowed with strong representation ability to achieve significant improvements on viewpoints estimation. Extensive experiments are conducted and show the superiority of our approach. On the large Pascal3D+ dataset, we achieve the state-of-the-art results among all commonly used metrics.
Keyword:
Viewpoint estimation
viewpoints ambiguity problem
viewpoint discernibility matrix loss
auxiliary hierarchical viewpoints supervision
AI总结
对已上传原文的论文进行重点信息的提取，主要内容包括：简要概述、研究摘要、背景介绍、关键亮点、图文解析、展望与总结。
期刊
IF:
3.6
论文数:
9.8W
被引数:
29.4W
机构
引用论文
Do Perceptions of Competence Mediate The Relationship Between Fundamental Motor Skill Proficiency and Physical Activity Levels of Children in Kindergarten?能力的感知是否可以介导幼儿园儿童的基本运动技能熟练程度与身体活动水平之间的关系？
PREAI
分享收藏Gradient-based learning applied to document recognition基于梯度的学习在文档识别中的应用.png)
PROCEEDINGS OF THE IEEE
PROCEEDINGS OF THE IEEEIF25.9
PREAI
分享收藏Two-dimensional bricklayer arrangements of tolans using halogen bonding interactions使用卤素键相互作用的tolans的二维瓦工层布置
PREAI
分享收藏MAPPING ARTIFICIAL TERRACES FROM IMAGE MATCHING POINT CLOUD IN LOESS PLATEAU OF CHINAThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
OAAI
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information SciencesIF0
OAAI分享收藏
查看更多内容