Metadata Learning of Non-Visual Features: Co-Occurrence Overlap Function for Rectangular Regions and Ground Truth Data
Abstract
To incorporate object locations in a multi-target detection model, we assume that a close duplicate cannot be learned by the model efficiently. So, we use a region-based approach which uses more object location compared to the ground truth locations to localize the targets. The proposed model is able to learn a similarity metric with respect to the ground truth locations which is robust (low false positives) enough forvarying images conditions, small aerial target sizes and using few training samples.
Document Details
- Document Type
- Technical Report
- Publication Date
- Apr 01, 2020
- Accession Number
- AD1097283
Entities
People
- Asif Mehmood
- Vasanth Iyer