Paper for L3D-IVU @ CVPR 2023 accepted_伟德国际_伟德国际1946$娱乐app游戏

Chair for Machine Learning & Computer Vision
2023-04-12T12:50:29+00:00
Universit?t Augsburg

A paper with the title "Impact of Pseudo Depth on Open World Object Segmentation with Minimal User Guidance" by Robin Sch?n, Katja Ludwig and Rainer Lienhart has been accepted to the? 2nd Workshop on Learning with Limited Labelled Data for Image and Video Understanding at the CVPR 2023. In this paper, the authors examine the effect of pseudo depth maps on the segmentation of object types which have not been present in the training data. The targeted objects are indicated by the means of coordinates on the object surfaces. In order to avoid a dependency ground truth depth maps, the depth maps are predicted by networks.