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Found 4 papers, 1 papers with code
S³Net: Semantic-Aware Self-supervised Depth Estimation with Monocular Videos and Synthetic Data
In order to learn such a scalable depth estimation model, we require a ton of data and labels which are targeted towards specific use-cases.
DELFI: Deep Mixture Models for Long-term Air Quality Forecasting in the Delhi National Capital Region
The identification and control of human factors in climate change is a rapidly growing concern and robust, real-time air-quality monitoring and forecasting plays a critical role in allowing effective policy formulation and implementation.
AI-based Monitoring and Response System for Hospital Preparedness towards COVID-19 in Southeast Asia
This research paper proposes a COVID-19 monitoring and response system to identify the surge in the volume of patients at hospitals and shortage of critical equipment like ventilators in South-east Asian countries, to understand the burden on health facilities.
$S^3$Net: Semantic-Aware Self-supervised Depth Estimation with Monocular Videos and Synthetic Data
We present $S^3$Net, a self-supervised framework which combines these complementary features: we use synthetic and real-world images for training while exploiting geometric, temporal, as well as semantic constraints.
