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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
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原文鏈接
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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相關文章
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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