Ashish Patel 🇮🇳’s Post

Day-14 Computer Vision Learning CAM: Learning Deep Features for Discriminative Localization (Weakly Supervised Object Localization) by Massachusetts Institute of Technology 𝗜𝗻𝘁𝗲𝗿𝗲𝘀𝘁𝗶𝗻𝗴 𝗙𝗮𝗰𝘁𝘀 🔸 As described in one 2020 CVPR WSOL paper, it’s surprising that it’s still one of the state-of-the-art WSOL approaches with superior performance. This is a paper in 2016 CVPR with over 3000 citations. ------------------------------------------------------------------- 𝗔𝗺𝗮𝘇𝗶𝗻𝗴 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 : https://lnkd.in/eqBkqS2 𝗣𝘆𝘁𝗼𝗿𝗰𝗵: https://lnkd.in/e2rxDHT 𝗧𝗲𝗻𝘀𝗼𝗿𝗙𝗹𝗼𝘄2: https://lnkd.in/eJBCgyt 𝗞𝗲𝗿𝗮𝘀 : https://lnkd.in/ebkbnKB ------------------------------------------------------------------- 𝗜𝗠𝗣𝗢𝗥𝗧𝗔𝗡𝗖𝗘 🔸Global Average Pooling (GAP) is used at the near end of the network. 🔸By using GAP, Class Activation Mapping (CAM) technique is proposed for Weakly Supervised Object Localization (WSOL) 🔸Object localization and image classification are performed in a single forward-pass. #innovation #artificialintelligence #computervision #india