Search Results for author:
Found 2 papers, 0 papers with code
Efficient Object Detection Model for Real-Time UAV Applications
We propose a deep feature pyramid architecture which makes use of inherent properties of features extracted from Convolutional Networks by capturing more generic features in the images (such as edge, color etc.)
A CASE STUDY ON OPTIMAL DEEP LEARNING MODEL FOR UAVS
Our work is mainly focused on autonomous flying drones where we establish a case study towards efficiency, robustness and accuracy of UAVs where we showed our results well supported through experiments.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
