10 2019 档案

Exploring 3 R’s of Long-term Tracking: Re-detection, Recovery and Reliability
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posted @ 2019-10-31 19:42 AHU-WangXiao 阅读(0) 评论(0) 推荐(0)
Grandmaster level in StarCraft II using multi-agent reinforcement learning
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posted @ 2019-10-31 11:45 AHU-WangXiao 阅读(1) 评论(0) 推荐(0)
Pushing state-of-the-art in 3D content understanding
摘要：Pushing state-of-the-art in 3D content understanding 2019-10-31 06:34:08 This blog is copied from: https://ai.facebook.com/blog/pushing-state-of-the-a 阅读全文
posted @ 2019-10-31 06:35 AHU-WangXiao 阅读(428) 评论(0) 推荐(0)
Learning to Track Any Object
摘要：Learning to Track Any Object 2019-10-28 12:14:49 Paper: https://arxiv.org/abs/1910.11844 1. Background and Motivation: 在本文开始部分，作者就提到 object prior 对于跟踪 阅读全文
posted @ 2019-10-28 12:16 AHU-WangXiao 阅读(748) 评论(0) 推荐(0)
Multihypothesis Trajectory Analysis for Robust Visual Tracking
摘要：Multihypothesis Trajectory Analysis for Robust Visual Tracking 2019-10-27 14:33:49 Paper: https://www.cv-foundation.org/openaccess/content_cvpr_2015/p 阅读全文
posted @ 2019-10-27 14:39 AHU-WangXiao 阅读(476) 评论(0) 推荐(0)
Relation-Aware Graph Attention Network for Visual Question Answering
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posted @ 2019-10-27 07:16 AHU-WangXiao 阅读(1) 评论(0) 推荐(0)
save tracking results into csv file for oxuva long-term tracking dataset (from txt to csv)
摘要：save tracking results into csv file for oxuva long-term tracking dataset (from txt to csv) 2019-10-25 09:42:03 Official Tools: OxUvA long-term trackin 阅读全文
posted @ 2019-10-25 06:45 AHU-WangXiao 阅读(306) 评论(0) 推荐(0)
Emotion Recognition Using Graph Convolutional Networks
摘要：Emotion Recognition Using Graph Convolutional Networks 2019-10-22 09:26:56 This blog is from: https://towardsdatascience.com/emotion-recognition-using 阅读全文
posted @ 2019-10-22 06:28 AHU-WangXiao 阅读(472) 评论(0) 推荐(0)
Video Architecture Search
摘要：Video Architecture Search 2019-10-20 06:48:26 This blog is from: https://ai.googleblog.com/2019/10/video-architecture-search.html Posted by Michael S. 阅读全文
posted @ 2019-10-20 06:50 AHU-WangXiao 阅读(650) 评论(0) 推荐(0)
Curiosity-Driven Learning through Next State Prediction
摘要：Curiosity-Driven Learning through Next State Prediction 2019-10-19 20:43:17 This paper is from: https://medium.com/data-from-the-trenches/curiosity-dr 阅读全文
posted @ 2019-10-19 20:45 AHU-WangXiao 阅读(391) 评论(0) 推荐(0)
The Rise of Meta Learning
摘要：The Rise of Meta Learning 2019-10-18 06:48:37 This blog is from: https://towardsdatascience.com/the-rise-of-meta-learning-9c61ffac8564 Connor Shorten 阅读全文
posted @ 2019-10-18 06:50 AHU-WangXiao 阅读(369) 评论(0) 推荐(0)
DM-GAN: Dynamic Memory Generative Adversarial Networks for Text-to-Image Synthesis
摘要：DM-GAN: Dynamic Memory Generative Adversarial Networks for Text-to-Image Synthesis 2019-10-12 16:22:38 Paper: https://arxiv.org/abs/1904.01310 Code: h 阅读全文
posted @ 2019-10-12 16:23 AHU-WangXiao 阅读(1365) 评论(0) 推荐(0)
METAPIX: FEW-SHOT VIDEO RETARGETING
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posted @ 2019-10-12 11:28 AHU-WangXiao 阅读(1) 评论(0) 推荐(0)
python PIL 图像处理
摘要：python PIL 图像处理 This blog is from: https://www.jianshu.com/p/e8d058767dfa Image读出来的是PIL的类型，而skimage.io读出来的数据是numpy格式的 输出可以看出Img读图片的大小是图片的(width, heigh 阅读全文
posted @ 2019-10-11 20:19 AHU-WangXiao 阅读(2310) 评论(0) 推荐(0)
python skimage图像处理(一)
摘要：python skimage图像处理(一) This blog is from: https://www.jianshu.com/p/f2e88197e81d 基于python脚本语言开发的数字图片处理包，比如PIL,Pillow, opencv, scikit-image等。PIL和Pillow只 阅读全文
posted @ 2019-10-11 20:18 AHU-WangXiao 阅读(16027) 评论(0) 推荐(0)
python skimage图像处理(二)
摘要：python skimage图像处理(二) This blog is from: https://www.jianshu.com/p/66e6261f0279 图像简单滤波 对图像进行滤波，可以有两种效果：一种是平滑滤波，用来抑制噪声；另一种是微分算子，可以用来检测边缘和特征提取。skimage库中 阅读全文
posted @ 2019-10-11 20:15 AHU-WangXiao 阅读(3962) 评论(0) 推荐(0)
python skimage图像处理(三)
摘要：python skimage图像处理(三) This blog is from: https://www.jianshu.com/p/7693222523c0 霍夫线变换 在图片处理中，霍夫变换主要是用来检测图片中的几何形状，包括直线、圆、椭圆等。在skimage中，霍夫变换是放在tranform模 阅读全文
posted @ 2019-10-11 20:12 AHU-WangXiao 阅读(6199) 评论(0) 推荐(0)
An intriguing failing of convolutional neural networks and the CoordConv solution
摘要：An intriguing failing of convolutional neural networks and the CoordConv solution NeurIPS 2018 2019-10-10 15:01:48 Paper: https://arxiv.org/pdf/1807.0 阅读全文
posted @ 2019-10-10 12:06 AHU-WangXiao 阅读(1002) 评论(0) 推荐(0)
Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization
摘要：Arbitrary Style Transfer in Real-time with Adaptive Instance Normalization 2019-10-10 10:50:19 Paper: http://openaccess.thecvf.com/content_ICCV_2017/p 阅读全文
posted @ 2019-10-10 07:52 AHU-WangXiao 阅读(1863) 评论(0) 推荐(0)
Graph Convolutional Networks for Temporal Action Localization
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posted @ 2019-10-08 17:56 AHU-WangXiao 阅读(0) 评论(0) 推荐(0)
How to Use Convolutional Neural Networks for Time Series Classification
摘要：How to Use Convolutional Neural Networks for Time Series Classification 2019-10-08 12:09:35 This blog is from: https://towardsdatascience.com/how-to-u 阅读全文
posted @ 2019-10-08 09:11 AHU-WangXiao 阅读(795) 评论(0) 推荐(0)
Transform the vot dataset into 4 corner format
摘要：Transform the vot dataset into 4 corner format Matlab code to change the 8 value ground truth into 4 corner format: (x1, y1, width, height). 阅读全文
posted @ 2019-10-06 12:40 AHU-WangXiao 阅读(193) 评论(0) 推荐(0)
Evolutionary approaches towards AI: past, present, and future
摘要：Evolutionary approaches towards AI: past, present, and future 2019-10-06 07:28:13 This blog is from: https://towardsdatascience.com/evolutionary-appro 阅读全文
posted @ 2019-10-06 07:30 AHU-WangXiao 阅读(277) 评论(0) 推荐(0)
Re3 : Real-Time Recurrent Regression Networks for Visual Tracking of Generic Objects
摘要：Re3 : Real-Time Recurrent Regression Networks for Visual Tracking of Generic Objects 2019-10-04 14:42:54 Paper：https://arxiv.org/pdf/1705.06368.pdf Co 阅读全文
posted @ 2019-10-04 12:45 AHU-WangXiao 阅读(504) 评论(0) 推荐(0)
An overview of time series forecasting models
摘要：An overview of time series forecasting models 2019-10-04 09:47:05 This blog is from: https://towardsdatascience.com/an-overview-of-time-series-forecas 阅读全文
posted @ 2019-10-04 07:49 AHU-WangXiao 阅读(628) 评论(0) 推荐(0)
Policy Gradient Algorithms
摘要：Policy Gradient Algorithms 2019-10-02 17:37:47 This blog is from: https://lilianweng.github.io/lil-log/2018/04/08/policy-gradient-algorithms.html Abst 阅读全文
posted @ 2019-10-02 17:34 AHU-WangXiao 阅读(1138) 评论(0) 推荐(0)
Learning to Learn and Predict: A Meta-Learning Approach for Multi-Label Classification
摘要：Learning to Learn and Predict: A Meta-Learning Approach for Multi-Label Classification 2019-10-01 11:29:54 Paper: https://arxiv.org/pdf/1909.04176.pdf 阅读全文
posted @ 2019-10-01 19:34 AHU-WangXiao 阅读(964) 评论(2) 推荐(1)