Ashish Patel 🇮🇳’s Post

𝗗𝗮𝘆-𝟰𝟱𝟯 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 L^3U-net: Low-Latency Lightweight U-net Based Image Segmentation Model for Parallel CNN Processors by Analog Devices Inc. Istanbul, Turkey Follow me for a similar post: Ashish Patel ------------------------------------------------------------------- 𝗜𝗻𝘁𝗲𝗿𝗲𝘀𝘁𝗶𝗻𝗴 𝗙𝗮𝗰𝘁𝘀 : 🔸 This paper is published cvpr2022. ------------------------------------------------------------------- 𝗜𝗠𝗣𝗢𝗥𝗧𝗔𝗡𝗖𝗘 ➡️ In this research, we propose a tiny image segmentation model, L^3U-net, that works on low-resource edge devices in real-time. ➡️ We introduce a data folding technique that reduces inference latency by leveraging the parallel convolutional layer processing capability of the CNN accelerators. ➡️ We also deploy the proposed model to such a device, MAX78000, and the results show that L^3U-net achieves more than 90% accuracy over two different segmentation datasets with 10 fps. #computervision #artificialintelligence #technology