WasteNet: A novel multi-scale attention-based U-Net architecture for waste detection in UAV images

Waste littering contributes to various ecological, aesthetic, economic, and social hazards. Given the dispersed nature of littered waste in public spaces, there is a need for a wider area of inspection to enable efficient detection of such waste. The study re-emphasizes the utility of UAVs for round...

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Bibliographic Details
Published in:Remote sensing applications 2024-08, Vol.35, p.101220, Article 101220
Main Authors: Bansal, Kamakhya, Tripathi, Ashish Kumar
Format: Article
Language:English
Subjects:
aesthetics
Attention-based fusion
environment
Multi-scale convolutions
Semantic segmentation
U-net
UAVVaste dataset
unmanned aerial vehicles
wastes
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Online Access:Get full text
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