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SoftEnNet: Symbiotic Monocular Depth Estimation and Lumen Segmentation for Colonoscopy Endorobots
We propose a novel multi-task model that simultaneously predicts dense depth and lumen segmentation with an ensemble of deep networks.
Monocular Depth Estimators: Vulnerabilities and Attacks
It has been shown in recent works that these deep neural networks are highly vulnerable to adversarial samples for tasks like classification, detection and segmentation.
Intelligent Residential Energy Management System using Deep Reinforcement Learning
The rising demand for electricity and its essential nature in today's world calls for intelligent home energy management (HEM) systems that can reduce energy usage.
Self-Attention Dense Depth Estimation Network for Unrectified Video Sequences
The dense depth estimation of a 3D scene has numerous applications, mainly in robotics and surveillance.
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