05 2019 档案

Learning Conditioned Graph Structures for Interpretable Visual Question Answering
摘要：Learning Conditioned Graph Structures for Interpretable Visual Question Answering 2019-05-29 00:29:43 Paper：http://papers.nips.cc/paper/8054-learning- 阅读全文
posted @ 2019-05-29 00:32 AHU-WangXiao 阅读(763) 评论(0) 推荐(0) 编辑
Spatial-Temporal Relation Networks for Multi-Object Tracking
摘要：Spatial-Temporal Relation Networks for Multi-Object Tracking 2019-05-21 11:07:49 Paper: https://arxiv.org/pdf/1904.11489.pdf 1. Background and Motivat 阅读全文
posted @ 2019-05-21 11:09 AHU-WangXiao 阅读(2510) 评论(0) 推荐(0) 编辑
Generalized Intersection over Union: A Metric and A Loss for Bounding Box Regression
摘要：Generalized Intersection over Union: A Metric and A Loss for Bounding Box Regression 2019-05-20 19:34:55 Paper: https://arxiv.org/pdf/1902.09630.pdf P 阅读全文
posted @ 2019-05-20 19:37 AHU-WangXiao 阅读(749) 评论(0) 推荐(0) 编辑
End-To-End Memory Networks
摘要：End-To-End Memory Networks 2019-05-20 14:37:35 Paper：https://papers.nips.cc/paper/5846-end-to-end-memory-networks.pdf Code：https://github.com/facebook 阅读全文
posted @ 2019-05-20 14:39 AHU-WangXiao 阅读(622) 评论(0) 推荐(0) 编辑
（转）AutoML 与轻量模型大列表： awesome-AutoML-and-Lightweight-Models
摘要：Awesome-AutoML-and-Lightweight-Models 原文：http://bbs.cvmart.net/articles/414/zi-yuan-automl-yu-qing-liang-mo-xing-da-lie-biao A list of high-quality (n 阅读全文
posted @ 2019-05-15 14:00 AHU-WangXiao 阅读(734) 评论(0) 推荐(0) 编辑
李宏毅机器学习课程 meata-learning 学习笔记
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posted @ 2019-05-09 16:15 AHU-WangXiao 阅读(1) 评论(0) 推荐(0) 编辑
Graph Convolutional Tracking
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posted @ 2019-05-05 11:00 AHU-WangXiao 阅读(4) 评论(0) 推荐(0) 编辑
Target-Aware Deep Tracking
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posted @ 2019-05-03 11:50 AHU-WangXiao 阅读(398) 评论(0) 推荐(0) 编辑
（转）RL — Policy Gradient Explained
摘要：RL — Policy Gradient Explained 2019-05-02 21:12:57 This blog is copied from: https://medium.com/@jonathan_hui/rl-policy-gradients-explained-9b13b688b1 阅读全文
posted @ 2019-05-02 21:15 AHU-WangXiao 阅读(495) 评论(0) 推荐(0) 编辑

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