HIGHLIGHTS
- who: Huayang C et al. from the School of Automation Engineering, University of Electronic Science and Technology of China have published the Article: Real-Time Motion Detection Network Based on Single Linear Bottleneck and Pooling Compensation, in the Journal: (JOURNAL)
- what: The authors show that the acceleration performance of the is 5% higher than that of the which is more suitable for improving the efficiency of model inference. the dataset CDNet2014 MDNet-LBPC increases the frames per second (FPS) metric by 123 compared to the suboptimal method FgSegNet_v2 ranking first in inference speed. The authors . . .
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