Paper accepted at the eLVM@CVPR 2024 workshop_伟德国际_伟德国际1946$娱乐app游戏

Chair for Machine Learning & Computer Vision
2024-04-18T11:36:05+00:00
Universit?t Augsburg

A paper with the title “Adapting the Segment Anything Model During Usage in Novel Situations” by Robin Sch?n, Julian Lorenz, Katja Ludwig and Rainer Lienhart has been accepted at the workshop for “Efficient Large Vision Models (eLVM)“. The workshop will be held jointly with the CVPR 2024 in Seattle. The paper presents a method for adapting the Segment Anything Model (SAM) during test time without the aid of additional training data. Instead, the method uses information with is generated during usage in order to generate pseudo labels.