20个道路目标检测论文标题：从Faster R-CNN到Tubelet Proposal Networks

'Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks'
'YOLO: You Only Look Once'
'SSD: Single Shot MultiBox Detector'
'Mask R-CNN'
'RetinaNet: Focal Loss for Dense Object Detection'
'Cascade R-CNN: Delving into High Quality Object Detection'
'EfficientDet: Scalable and Efficient Object Detection'
'CornerNet: Detecting Objects as Paired Keypoints'
'CenterNet: Keypoint Triplets for Object Detection'
'FCOS: Fully Convolutional One-Stage Object Detection'
'PVANet: Lightweight Deep Neural Networks for Real-Time Object Detection'
'R-FCN: Object Detection via Region-based Fully Convolutional Networks'
'Deformable Convolutional Networks for Object Detection'
'DenseBox: Unifying Landmark Localization with End to End Object Detection'
'ACF: Object Detection using Adaptive Combination of Convolutional Filters'
'Object Detection with Deep Learning: A Review'
'Beyond R-CNN: Towards Real-Time Object Detection with Cross-Region Proposal Networks'
'Contextual Priming and Feedback for Faster Object Detection'
'Learning Multi-scale Features with Dilated Convolution for Object Detection'
'Object Detection in Videos with Tubelet Proposal Networks'