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This document summarizes the paper "BlitzNet: A Real-Time Deep Network for Scene Understanding". BlitzNet is a deep neural network architecture that performs object detection and semantic segmentation in real-time with a single forward pass. The network jointly solves both tasks to gain computational efficiencies and improve accuracy by exploiting shared features. Experimental results on PASCAL VOC and MS COCO datasets show it achieves state-of-the-art performance for real-time object detection and segmenta

Author

umme sultana

Language

EN