deep learning

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....

Abstract For avoiding collision while operating with articulate laparoscopic manipulator system, the position of the instruments should be provided in real-time. Our proposed method provides a reasonable solution for instrument tracking in vivo. What, How, Results What A CNN (moded U-Net) based for detecting medical instruments in vivo using binary distribution and gaussian distribution as the label (Fig. 1) Fig....