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eess.IV2023★ 21 cited
WATT-EffNet: A Lightweight and Accurate Model for Classifying Aerial Disaster Images
Gao Yu Lee, Tanmoy Dam, Md Meftahul Ferdaus +2
Incorporating deep learning (DL) classification models into unmanned aerial vehicles (UAVs) can significantly augment search-and-rescue operations and disaster management efforts.…
eess.IV2022
Improving Self-supervised Learning for Out-of-distribution Task via Auxiliary Classifier
Harshita Boonlia, Tanmoy Dam, Md Meftahul Ferdaus +2
In real world scenarios, out-of-distribution (OOD) datasets may have a large distributional shift from training datasets. This phenomena generally occurs when a trained classifier…