Elevating Amodal Segmentation Using ASH-Net Architecture for Accurate Object Boundary Estimation

Elevating Amodal Segmentation Using ASH-Net Architecture for Accurate Object Boundary Estimation

Amodal segmentation is a critical task in the field of computer vision as it involves accurately estimating object boundaries that extend beyond occlusion. This paper introduces a network named after the Amodal Segmentation Head, ASH-Net, a novel architecture specifically designed for amodal segment...

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Bibliographic Details
Main Authors: S. Raghavendra, Divya Rao, S. K. Abhilash, Venu Madhav Nookala, Praveen Gurunath Bharathi
Format: Article
Language:English
Published: IEEE 2023-01-01
Series:IEEE Access
Subjects:
Amodal segmentation
computer vision
deep learning
instance segmentation
object recognition
occlusion handling
Online Access:https://ieeexplore.ieee.org/document/10207843/

Internet

https://ieeexplore.ieee.org/document/10207843/

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