Application Anhui Hefei

Disclosure The authors declare no conflicts of interest. Supporting Information Filename Description ins13307-sup-0001-figureS1.pdf9.9 MB Fig. S1 Vision is dispensable for cluster digging. ins13307-sup-0001-videoS1.mp4240.5 KB Video 1 Most larvae normally walked on the agar plate after their posterior spiracles were blocked with glue. ins13307-sup-0001-videoS2.mp44.3 MB Video 2 A labeled larva with blocked posterior spiracles was leaving the clump during the cluster digging.

Abstract Real-time network by adopting attention mechanism is helpful for enhancing lane detection capability of autonomous vehicles. This paper proposes a real-time lane detection network (TSA-LNet) that incorporates a lightweight network (LNet) and a two-directional separation attention (TSA) to enhance the lane detection capability of autonomous vehicles. By adopting the attention mechanism, the real-time performance and detection accuracy are significantly improved.

Summary As the scale of the integrated circuit increases, the distance between transistors decreases, a trend that reduces the critical charge of the sensitive nodes of the memory cell. Consequently, Static Random Access Memory cells in high radiation environments are very prone to soft errors.