Comparison between S.o.t.A and our method

[Master Thesis]Instance Segmentation for Application to Deformable Linear Objects

Abstract For detecting deformable linear objects (DLO), such as cables, CNN-based methods are insufficient for industrial use, such as for bin-picking tasks. In this paper, based on testing various baseline models from state of the art (s.o.t.a), the reasons of failures while detecting cables are found and depending on those, we’ve suggested a 2 stage method, which is a combination of vision Transformer and HTC (Fig. 1) as an example, to reach the best performance in case of detecting cable with s....

December 1, 2021 · 2 min · Haozheng Lin