Robust Deep Multi-modal Learning Based on Gated Information Fusion Network 2018-07-27 14:25:26 Paper:https://arxiv.org/pdf/1807.06233.pdf Related Papers: 1. Infrared and visible image fusion methods and applications: A survey Paper 2. Chenglong Li…
[arXiv 1710.03144]Island Loss for Learning Discriminative Features in Facial Expression ABSTRACT 作者在CenterLoss的基础上,提出了一个新的Loss,在关注类别的类内距离的同时,优化类间距离,使得每个类别拥有更大的margin,从而迫使网络能够学习到更具判别性的特征. 当前问题 在环境不可控(光照,姿态,遮挡,人物状态)等条件下,不同表情间的类间距离往往会大于类内距离.同时因为高的类内距离,同…
Deep Meta Learning for Real-Time Visual Tracking based on Target-Specific Feature Space 2018-01-04 15:58:15 写在前面:为什么要看这个paper?这篇 paper 貌似是第一个将 meta-learning 应用到 visual tracking 领域的,取得了速度和精度较好的平衡. Introduction: 我们知道,tracking 中比较重要的就是 target object…
Deep Reinforcement Learning Based Trading Application at JP Morgan Chase https://medium.com/@ranko.mosic/reinforcement-learning-based-trading-application-at-jp-morgan-chase-f829b8ec54f2 FT released a story today about the new application that will op…
题目链接 http://acm.split.hdu.edu.cn/showproblem.php?pid=5396 Problem Description Teacher Mai has n numbers a1,a2,⋯,anand n−1 operators("+", "-" or "*")op1,op2,⋯,opn−1, which are arranged in the form a1 op1 a2 op2 a3 ⋯ an. He wan…
Link of the Paper: https://arxiv.org/abs/1411.4389 Main Points: A novel Recurrent Convolutional Architecture ( CNN + LSTM ): both Spatially and Temporally Deep. The recurrent long-term models are directly connected to modern visual convnet models and…
