Beyond Pixels Leveraging Geometry and Shape Cues for Online[ICRA18]阅读笔记

时间 2020-12-25

标签 Automatic Vehicle Object Tracking ICRA 自动驾驶机器学习矩阵计算机视觉深度学习栏目应用数学繁體版

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Main contributions: Device a pairwise costs for object tracking based on several 3D cues. The costs are agnostic to the data association method. Can incorporated into any optimization framework. The e

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1. #每天一篇论文 258/365 Beyond Pixels: Leveraging Geometry and Shape Cues for OnlineMulti-Object Tracking
2. 论文阅读笔记《End-to-End Learning of Geometry and Context for Deep Stereo Regression》
3. 论文阅读：Leveraging multimodal information for event summarization and concept-level sentiment analysis
4. High-Resolution Representations for Labeling Pixels and Regions论文阅读翻译
5. Feature Pyramid Networks for Object Detection 阅读笔记
6. 阅读笔记--《Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond》
7. 论文：GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond 阅读笔记
8. 【论文阅读笔记】Beyond Short Snippets: Deep Networks for Video Classification
9. 论文阅读笔记：Embedded Deformation for Shape Manipulation
10. 【阅读笔记】Geometry-Driven Self-Supervised Method for 3D Human Pose Estimation， AAAI 2020

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