Search Results for author: Ritu Yadav

Found 7 papers, 2 papers with code

A CNN regression model to estimate buildings height maps using Sentinel-1 SAR and Sentinel-2 MSI time series

no code implementations3 Jul 2023 Ritu Yadav, Andrea Nascetti, Yifang Ban

Accurate estimation of building heights is essential for urban planning, infrastructure management, and environmental analysis.

Management Time Series

Context-Aware Change Detection With Semi-Supervised Learning

no code implementations15 Jun 2023 Ritu Yadav, Andrea Nascetti, Yifang Ban

Change detection using earth observation data plays a vital role in quantifying the impact of disasters in affected areas.

Change Detection

Attentive Dual Stream Siamese U-net for Flood Detection on Multi-temporal Sentinel-1 Data

no code implementations20 Apr 2022 Ritu Yadav, Andrea Nascetti, Yifang Ban

The experiments highlight that the combination of bi-temporal SAR data with an effective network architecture achieves more accurate flood detection than uni-temporal methods.


Radar+RGB Attentive Fusion for Robust Object Detection in Autonomous Vehicles

1 code implementation31 Aug 2020 Ritu Yadav, Axel Vierling, Karsten Berns

BIRANet yields 72. 3/75. 3% average AP/AR on the NuScenes dataset, which is better than the performance of our base network Faster-RCNN with Feature pyramid network(FFPN).

Autonomous Vehicles object-detection +2

Light-Weighted CNN for Text Classification

1 code implementation16 Apr 2020 Ritu Yadav

As a solution to this problem, we introduced a whole new architecture based on separable convolution.

Document Classification Document Image Classification +4

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