Beyond Pixels Leveraging Geometry and Shape Cues for Online[ICRA18]閱讀筆記

時間 2020-12-25

標籤 Automatic Vehicle Object Tracking ICRA 自動駕駛機器學習矩陣計算機視覺深度學習欄目應用數學简体版

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

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