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🔥 6x Linkedln Top Voice | AI Research Scientist & Chief Data Scientist at IBM | Generative AI Expert | Author - Hands-on Time Series Analytics with Python | IBM Quantum ML Certified | 11+ Years in AI | MLOps | IIMA |

𝗗𝗮𝘆-𝟭𝟮𝟮 Computer Vision Learning 𝗗𝟮𝗗𝗲𝘁:Towards High Quality Object Detection and Instance Segmentation by  Follow me for a similar post:  🇮🇳 Ashish Patel Interesting Facts : 🔸 This is a paper in CVPR 2020 with over 15 citations. 🔸 It Outperforms with MaskRCNN, PANet. ------------------------------------------------------------------- 𝗔𝗺𝗮𝘇𝗶𝗻𝗴 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 : https://bit.ly/3aW0iDq Code : https://lnkd.in/e2UtY69 ------------------------------------------------------------------- 𝗜𝗠𝗣𝗢𝗥𝗧𝗔𝗡𝗖𝗘 🔸 a) Overall architecture of our two-stage method. The RoI feature of each candidate proposal P, generated from RPN is passed through two different branches: dense local regression (b) and classification (c). Instead of treating RoI feature as a single global vector, our dense local regression treats them as k × k local features extracted from k × k subregions within RoI.     #computervision #artificialintelligence #deeplearning #innovation

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Ashish Patel 🇮🇳

🔥 6x Linkedln Top Voice | AI Research Scientist & Chief Data Scientist at IBM | Generative AI Expert | Author - Hands-on Time Series Analytics with Python | IBM Quantum ML Certified | 11+ Years in AI | MLOps | IIMA |

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