Ashish Patel 🇮🇳’s Post

Day-88 Computer Vision Learning MaskLab — Refining with Semantic and Direction Features (Instance Segmentation) by Google Follow me for similar post : 🇮🇳 Ashish Patel Interesting Facts : 🔸 It is published in 2018 CVPR with more than 100 citations. 🔸Utilize Semantic & Direction Features, Outperforms Mask R-CNN & FCIS in Instance Segementation, Mask R-CNN, G-RMI & TDM in Box Detection ------------------------------------------------------------------- 𝗔𝗺𝗮𝘇𝗶𝗻𝗴 𝗥𝗲𝘀𝗲𝗮𝗿𝗰𝗵 : https://lnkd.in/gWUFCUw ------------------------------------------------------ ------------- 𝗜𝗠𝗣𝗢𝗥𝗧𝗔𝗡𝗖𝗘 🔸 For each ROI, foreground/background segmentation is performed by combining semantic and direction prediction. 🔸Semantic segmentation assists the model in distinguishing between objects of different semantic classes including background. 🔸The direction prediction, estimating each pixel’s direction towards its corresponding center, allows separating instances of the same semantic class. #computervision #artificialintelligence #data