Depth from Videos in the Wild 解读 2019年7月17日11:37:05 论文Depth from Videos in the Wild: Unsupervised Monocular Depth Learning from Unknown Cameras 主要有几个亮点: 1,处理移动物体时 instance segmentation and tracking are not required,不需要实例分割, 虽然文章里说还是需要一个网络预测可能移动的...
具体来说,我们考虑时间戳t_0和t_1处的一对帧x_0、x_1,分别指定为关键帧和参考帧。对于一个目标\left( x ,b\right),我们将其特征表示为h\left( x ,b\right)\in R^m,其中m是特征尺寸。我们收集了一组objectness值大于阈值的对象特征\{ h \left( x_0 ,b_i \right) \}_{i=1}^{N_0}和\{...
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With nearly one billion online videos viewed everyday, an emerging new frontier in computer vision research is recognition and search in video. While much effort has been devoted to the collection and annotation of large scalable static image datasets containing thousands of image categories, human ...
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For this purpose, we collected a dataset of Sports Videos in the Wild (SVW), consisting of videos captured by users of the leading sports training mobile app (Coach's Eye) while practicing a sport or watching a game. The dataset contains 4100 videos selected by reviewing 85, 000 videos ...
Integrating Language and Vision to Generate Natural Language Descriptions of Videos in the Wild. 来自 万方 喜欢 0 阅读量: 318 作者:J Thomason,S Venugopalan,S Guadarrama,K Saenko,R Mooney 摘要: This paper integrates techniques in natural language processing and computer vision to improve ...
对于3D目标检测和6D姿态估计领域,Objectron贡献了一个高质量的in-the-wild的公共数据集,但碍于3D物体的高复杂性,即使到这篇文章提出为止,依然没有能对标2D目标检测领域内MS-COCO数据集那样的工作诞生。Objectron的静态图像数据规模为400万,但仅包含14819个视频和17095个物体实例(COCO的实例多样性更胜一筹),物体类别...
Caregivers in the Wild: With Mike Lang. Health researcher and adventure guide, Dr. Mike Lang, whisks family caregivers away from their daily routines for a healthy dose of wilderness and adventure.
Video quality assessment (VQA) is an important problem in computer vision. The videos in computer vision applications are usually captured in the wild. We focus on automatically assessing the quality of in-the-wild videos, which is a challenging problem due to the absence of reference videos, ...