• Domain Adaptive Faster R-CNN for Object Detection in the Wild
• MSDA-YOLO:Multiscale Domain Adaptive YOLO for Cross-Domain Object Detection
• DSNet: Joint Semantic Learning for Object Detection in Inclement Weather Conditions
• PANet: Path Aggregation Network for Instance Segmentation
• M2Net: M2Net: A Single-Shot Object Detector based on Multi-Level Feature Pyramid Network
• RefineNet: Single-Shot Refinement Neural Network for Object Detection
• OHEM: Training Region-based Object with Online Hard Example Mining
• RetinaNet: Focal Loss for Dense Object Detection
• YOLO V3: An Incremental Improvement
• ResNet: Deep Residual Learning for Image Recognition
• YOLO9000: Better, Faster, Stronger
• YoLo: You Only Look Once : Unified,Real-Time Object Detection
• SSD：Single Shot MultiBox Detector
• FPN: Feature Pyramid Networks for Object Detection