Object Detection

• Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
• Fast R-CNN
• Bridging the Gap Between Anchor-Based and Anchor-Free Detection via Adaptive Training Sample Selection (ATSS)
• Probabilistic Anchor Assignment with IoU Prediction for Object Detection
• Focal Loss for Dense Object Detection (RetinaNet)
• End-to-End Object Detection with Transformers (DETR)
• Mask R-CNN