Ashish Patel 🇮🇳’s Post

𝗗𝗮𝘆-𝟯𝟭𝟭 𝗖𝗼𝗺𝗽𝘂𝘁𝗲𝗿 𝗩𝗶𝘀𝗶𝗼𝗻 𝗟𝗲𝗮𝗿𝗻𝗶𝗻𝗴 Baidu, Inc. AI Research Team Introduces ‘𝗣𝗣-𝗦𝗵𝗶𝗧𝘂’: A Practical Lightweight Image Recognition System Follow me for a similar post: 🇮🇳 Ashish Patel. ------------------------------------------------------------------- 𝗜𝗻𝘁𝗲𝗿𝗲𝘀𝘁𝗶𝗻𝗴 𝗙𝗮𝗰𝘁𝘀 : 🔸 Paper: 𝗣𝗣-𝗦𝗵𝗶𝗧𝘂: 𝗔 𝗣𝗿𝗮𝗰𝘁𝗶𝗰𝗮𝗹 𝗟𝗶𝗴𝗵𝘁𝘄𝗲𝗶𝗴𝗵𝘁 𝗜𝗺𝗮𝗴𝗲 𝗥𝗲𝗰𝗼𝗴𝗻𝗶𝘁𝗶𝗼𝗻 𝗦𝘆𝘀𝘁𝗲𝗺 🔸 This Paper is published arxiv 2021. 🪶 The need for image recognition is more evident than ever. It’s not just the obvious things like Facebook tagging your photos, but it can also be used to help identify objects in factories or allow driverless cars to detect pedestrians crossing the street. As consumers of technology, we are so dependent on this ability that we often don’t even notice it happening, yet our lives would be very different without it. 🪶 Baidu researchers have proposed ‘PP-ShiTu,‘ a new lightweight image recognition system that works in real-time. The PP-ShiTu framework contains three modules: mainbody detection, feature extraction, and vector search, ------------------------------------------------------------------- 𝗜𝗠𝗣𝗢𝗥𝗧𝗔𝗡𝗖𝗘 🔸 In recent years, image recognition applications have developed rapidly. A large number of studies and techniques have emerged in different fields, such as face recognition, pedestrian and vehicle re-identification, landmark retrieval, and product recognition. 🔸In this paper, we propose a practical lightweight image recognition system, named PP-ShiTu, consisting of the following 3 modules, mainbody detection, feature extraction and vector search. We introduce popular strategies including metric learning, deep hash, knowledge distillation and model quantization to improve accuracy and inference speed. 🔸With strategies above, PP-ShiTu works well in different scenarios with a set of models trained on a mixed dataset. Experiments on different datasets and benchmarks show that the system is widely effective in different domains of image recognition. #computervision #artificialintelligence #deeplearning