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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…
eess.IV2021
Multi-Fake Evolutionary Generative Adversarial Networks for Imbalance Hyperspectral Image Classification
Tanmoy Dam, Nidhi Swami, Sreenatha G. Anavatti +1
This paper presents a novel multi-fake evolutionary generative adversarial network(MFEGAN) for handling imbalance hyperspectral image classification. It is an end-to-end approach i…