25 citations · 72 across the 22 of their papers we have counts for
5 papers · 1 filter
Out of distribution detection for skin and malaria images
Muhammad Zaida, Shafaqat Ali, Mohsen Ali +3
Deep neural networks have shown promising results in disease detection and classification using medical image data. However, they still suffer from the challenges of handling real-…
Towards Low-Cost and Efficient Malaria Detection
Waqas Sultani, Wajahat Nawaz, Syed Javed +3
Malaria, a fatal but curable disease claims hundreds of thousands of lives every year. Early and correct diagnosis is vital to avoid health complexities, however, it depends upon t…
Cross-Region Building Counting in Satellite Imagery using Counting Consistency
Muaaz Zakria, Hamza Rawal, Waqas Sultani +1
Estimating the number of buildings in any geographical region is a vital component of urban analysis, disaster management, and public policy decision. Deep learning methods for bui…
Synergizing between Self-Training and Adversarial Learning for Domain Adaptive Object Detection
Muhammad Akhtar Munir, Muhammad Haris Khan, M. Saquib Sarfraz +1
We study adapting trained object detectors to unseen domains manifesting significant variations of object appearance, viewpoints and backgrounds. Most current methods align domains…
A Dataset and Benchmark for Malaria Life-Cycle Classification in Thin Blood Smear Images
Qazi Ammar Arshad, Mohsen Ali, Saeed-ul Hassan +4
Malaria microscopy, microscopic examination of stained blood slides to detect parasite Plasmodium, is considered to be a gold-standard for detecting life-threatening disease malari…