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Sr Principal AI Architect at Oracle | Generative AI Expert & Strategist | xIBMer | Author: Hands-on Time Series Analytics with Python | IBM Quantum ML Certified | 13+ Yrs AI | IIMA | 100K+ Followers | 6x LinkedInTopVoice

𝗗𝗮𝘆-𝟭𝟭𝟱 Computer Vision Learning 𝗗𝗲𝗲𝗽 𝗦𝗻𝗮𝗸𝗲 for Real-Time Instance Segmentation by Zhejiang University Follow me for similar post : 🇮🇳 Ashish Patel Interesting Facts : 🔸 This is a paper in CVPR2020 with over 36 citations. 🔸 Outperform MNC, FCIS, ORCNN, Mask R-CNN, PANet ------------------------------------------------------------------- 𝗔𝗺𝗮𝘇𝗶𝗻𝗴 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 : https://lnkd.in/eKi7bAx code : https://lnkd.in/eApEqFb ------------------------------------------------------------------- 𝗜𝗠𝗣𝗢𝗥𝗧𝗔𝗡𝗖𝗘 🔸 This paper introduces a novel contour-based approach named deep snake for real-time instance segmentation. 🔸The basic idea of deep snake. Given an initial contour, image features are extracted at each vertex (a). Since the contour is a cycle graph, circular convolution is applied for feature learning on the contour (b). The blue, yellow and green nodes denote the input features, the kernel of circular convolution, and the output features, respectively. Finally, offsets are regressed at each vertex to deform the contour to the object boundary (c). #computervision #artificialintelligence #deeplearning

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Ashish Patel 🇮🇳

Sr Principal AI Architect at Oracle | Generative AI Expert & Strategist | xIBMer | Author: Hands-on Time Series Analytics with Python | IBM Quantum ML Certified | 13+ Yrs AI | IIMA | 100K+ Followers | 6x LinkedInTopVoice

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