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Neighborhood Feature Pooling for Remote Sensing Image Classification
Fahimeh Orvati Nia, Amirmohammad Mohammadi, Salim Al Kharsa +3
In this work, we introduce Neighborhood Feature Pooling (NFP), a novel pooling layer designed to enhance texture-aware representation learning for remote sensing image classificati…
Histogram-based Parameter-efficient Tuning for Passive and Active Sonar Classification
Amirmohammad Mohammadi, Davelle Carreiro, Alexandra Van Dine +1
Parameter-efficient transfer learning (PETL) methods adapt large artificial neural networks to downstream tasks without fine-tuning the entire model. However, existing additive met…
Quantitative Measures for Passive Sonar Texture Analysis
Jarin Ritu, Alexandra Van Dine, Joshua Peeples
Passive sonar signals contain complex characteristics often arising from environmental noise, vessel machinery, and propagation effects. While convolutional neural networks (CNNs)…
Neural Edge Histogram Descriptors for Underwater Acoustic Target Recognition
Atharva Agashe, Davelle Carreiro, Alexandra Van Dine +1
Numerous maritime applications rely on the ability to recognize acoustic targets using passive sonar. While there is a growing reliance on pre-trained models for classification tas…
Structural and Statistical Audio Texture Knowledge Distillation for Acoustic Classification
Jarin Ritu, Amirmohammad Mohammadi, Davelle Carreiro +2
While knowledge distillation has shown success in various audio tasks, its application to environmental sound classification often overlooks essential low-level audio texture featu…