2019.
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| No. | PAPER | SOURCE |
|---|---|---|
| 1 | Visualizing the Loss Landscape of Neural Nets | PDF/video/code |
| 2 | 3D Backbone Network for 3D Object Detection | PDF/video/code |
| 3 | PersonLab : Person Pose Estimation and Instance Segmentation with a Bottom-Up , Part-Based , Geometric Embedding Model | PDF/video/code |
| 4 | DeeperLab : Single-Shot Image Parser | PDF/video/code |
| 5 | Multi-Task Learning as Multi-Objective Optimization | PDF/video/code |
| 6 | Rethinking on Multi-Stage Networks for Human Pose Estimation | PDF/video/code |
| 7 | RePr: Improved Training of Convolutional Filters | PDF/video/code |
| 8 | Group Normalization | PDF/video/code |
| 9 | Weight Standardization | PDF/video/code |
| 10 | Pruning Filters for Efficient ConvNets | PDF/video/code |
| 11 | High Performance Convolutional Neural Networks for Document Processing | PDF/video/code |
| 12 | Group normalization | PDF/video/code |
| 13 | Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks(DCGAN) | PDF/video/code |
| 14 | Generative Adversarial Networks(GAN) | PDF/video/code |
| 15 | Adversarial Learning for Semi-Supervised Semantic Segmentation | PDF/video/code |
| 16 | Wasserstein GAN | PDF/video/code |
| 17 | FVNet: 3D Front-View Proposal Generation for Real-Time Object Detection from Point Clouds | PDF/video/code |
| 18 | YOLOv3: An Incremental Improvement | PDF/video/code |
| — Date: 05.03 — | ||
| 19 | TextField: Learning A Deep Direction Field for Irregular Scene Text Detection | PDF/video/code |
| 20 | PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud | PDF/video/code |
| 21 | Deep learning on point clouds for 3D scene understanding | PDF/video/code |
| 22 | YOLO9000: Better, faster, stronger | PDF/video/code |
| 23 | LaserNet: An Efficient Probabilistic 3D Object Detector for Autonomous Driving | PDF/video/code |
| 24 | DEEP LEARNING ON POINT CLOUDS FOR 3D SCENE UNDERSTANDING(Ph.D Thesis) | PDF/video/code |
| 25 | Multi-View 3D Object Detection Network for Autonomous Driving | PDF/video/code |
| 26 | Deep 3d Representation Learning(Ph.D Thesis) | PDF/video/code |
| 27 | # todo | PDF/video/code |
来源：https://blog.csdn.net/zengzeyu/article/details/87286330