Baris Can Cam

Object Detection,Average Precision,Bounding Box,Class Imbalance,Deep Object Detection,Faster R-CNN,Focal Loss,Ground-truth Box,Hard Examples,Hardness,Imbalance Problem,Instance Segmentation,Intersection Over Union,Intersection Over Union Threshold,Loss Function,One-stage Methods,Performance Measures,Region Proposal Network,Aspects Of Function,Average Error,Backbone Feature,Backbone Network,Background Class,Balance Training,Balanced Sample,Box Regression,COCO Dataset,Class Imbalance Problem,Classification Score,Classification Task,Confidence Score,Continuous Labeling,Conventional Training,Cross-entropy Loss,Current Error,Deep Neural Network,Definition Of Loss,Design Choices,Detection Performance,Detection Task,False Negative,False Negative Rate,False Positive,False Positive Rate,Feasible Space,Feature Maps,Feature Pyramid,Feature Pyramid Network,Green Arrows,Ground Truth Set,