├── Monocular_depth_estimation
│ ├── Depth Prediction Without the Sensors: Leveraging Structure for Unsupervised.pdf
│ ├── PlaneNet: Piece-wise Planar Reconstruction from a Single RGB Image.pdf
│ └── Single View Stereo Matching.pdf
├── Objection_Detection
│ ├── AutoFocus: Efficient Multi-Scale Inference.pdf
│ ├── Deformable ConvNets v2: More Deformable, Better Results.pdf
│ ├── Deformable ConvNet with Aspect Ratio Constrained.pdf
│ ├── Deformable Convolutional Networks.pdf
│ ├── DetNet: A Backbone network for Object Detection
│ ├── DSSD.pdf
│ ├── Focal Loss for Dense Object Detection.pdf
│ ├── Hierarchical Macro Strategy Model for Mobi Game Ai.pdf
│ ├── LMNet: Real-time Multiclass Object Detection.pdf
│ ├── MegDet: A Large Mini-Batch Object Detector.pdf
│ ├── PCN.pdf
│ ├── Single-Shot Refinement Neural Network for Object Detection.pdf
│ ├── SSD.pdf
│ └── yolov3.pdf
├── Object_Pose_Estimation
│ └── DenseFusion.pdf
├── PointCloud_Objection_Detection
│ ├── BirdNet: a 3D Object Detection Framework.pdf
│ ├── Complex-YOLO: An Euler-Region-Proposal for\012Real-time 3D Object Detection on Point Clouds.pdf
│ ├── Frustum PointNets for 3D Object Detection from RGB-D Data
│ ├── Joint 3D Proposal Generation and Object Detection from View.pdf
│ ├── Multi-View 3D Object Detection Network for Autonomous Driving.pdf
│ ├── O-CNN: Octree-based Convolutional Neural Networks for 3D Shape Analysis.pdf
│ ├── PIXOR: Real-time 3D Object Detection from Point Clouds.pdf
│ ├── PointCNN.pdf
│ ├── PointNet++: Deep Hierarchical Feature Learning on.pdf
│ ├── PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation.pdf
│ ├── PointPillars: Fast Encoders for Object Detection from Point Clouds.pdf
│ ├── PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud.pdf
│ ├── RoarNet: A Robust 3D Object Detection based RegiOn Approximation Refinement .pdf
│ ├── SECOND: Sparsely Embedded Convolutional \012Detection.pdf
│ └── VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection.pdf
└── README.md
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