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Found 5 papers, 0 papers with code
Adaptive Batch Normalization for Training Data with Heterogeneous Features
The proposed method uses a novel threshold-based approach to classify the training data batches into two sets according to their need for normalization.
ViT-DeiT: An Ensemble Model for Breast Cancer Histopathological Images Classification
Breast cancer is the most common cancer in the world and the second most common type of cancer that causes death in women.
Hybrid Classifiers for Spatio-temporal Real-time Abnormal Behaviors Detection, Tracking, and Recognition in Massive Hajj Crowds
In large-scale crowds, we fine-tune the ResNet-50 model using YOLOv2 object detection technique to detect individuals with abnormal behaviors in the spatial domain.
Prostate Cancer Malignancy Detection and localization from mpMRI using auto-Deep Learning: One Step Closer to Clinical Utilization
Automatic diagnosis of malignant prostate cancer patients from mpMRI has been studied heavily in the past years.
Large-scale Datasets: Faces with Partial Occlusions and Pose Variations in the Wild
The LSLF dataset is currently the largest labeled face image dataset in the literature in terms of the number of labeled images and the number of individuals compared to other existing labeled face image datasets.
