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cs.CV2026
Few-Shot Learning Pipeline for Monkeypox Skin Disease Classification Using CNN Feature Extractors
Md. Safirur Rashid, Sabbir Ahmed, Muhammad Usama Islam +2
Despite the strong performance of Convolutional Neural Networks (CNNs) in disease classification, their effectiveness often depends on access to large annotated datasets, which is…
cs.CV2026
Virtual Try-On for Cultural Clothing: A Benchmarking Study
Muhammad Tausif Ul Islam, Shahir Awlad, Sameen Yeaser Adib +3
Although existing virtual try-on systems have made significant progress with the advent of diffusion models, the current benchmarks of these models are based on datasets that are d…
cs.CV2025
A Domain-Adapted Lightweight Ensemble for Resource-Efficient Few-Shot Plant Disease Classification
Anika Islam, Tasfia Tahsin, Zaarin Anjum +2
Accurate and timely identification of plant leaf diseases is essential for resilient and sustainable agriculture, yet most deep learning approaches rely on large annotated datasets…