开篇第一篇就写一个paper reading吧,用markdown+vim写东西切换中英文挺麻烦的,有些就偷懒都用英文写了. Stereo DSO: Large-Scale Direct Sparse Visual Odometry with Stereo Cameras Abstract Optimization objectives: intrinsic/extrinsic parameters of all keyframes all selected pixels' depth Inte…

<Exploiting Relevance Feedback in Knowledge Graph> Publication: KDD 2015 Authors: Yu Su, Shengqi Yang, etc. Affiliation: UCSB... 1. Short description: p { margin-bottom: 0.1in; line-height: 120% } a:link { } This paper formulate the novice graph rel…

Perceptual Generative Adversarial Networks for Small Object Detection 2017-07-11  19:47:46   CVPR 2017 This paper use GAN to handle the issue of small object detection which is a very hard problem in general object detection. As shown in the followin…

In Defense of the Triplet Loss for Person Re-Identification  2017-07-02  14:04:20   This blog comes from: http://blog.csdn.net/shuzfan/article/details/70069822 Paper:  https://arxiv.org/abs/1703.07737 Github: https://github.com/VisualComputingInstitu…

Link of the Paper: https://arxiv.org/abs/1706.03762 Motivation: The inherently sequential nature of Recurrent Models precludes parallelization within training examples. Attention mechanisms have become an integral part of compelling sequence modeling…

Link of the Paper: https://arxiv.org/abs/1705.03122 Motivation: Compared to recurrent layers, convolutions create representations for fixed size contexts, however, the effective context size of the network can easily be made larger by stacking severa…

Link of the Paper: https://arxiv.org/pdf/1412.6632.pdf Main Points: The authors propose a multimodal Recurrent Neural Networks ( AlexNet/VGGNet + a multimodal layer + RNNs ). Their work has two major differences from these methods. Firstly, they inco…

Link of the Paper: https://arxiv.org/abs/1412.2306 Main Points: An Alignment Model: Convolutional Neural Networks over image regions ( An image -> RCNN -> Top 19 detected locations in addition to the whole image -> the representations based on th…

Link of the Paper: https://ieeexplore.ieee.org/document/7298856/ A Correlative Paper: Learning a Recurrent Visual Representation for Image Caption Generation (Link of the Paper: https://arxiv.org/abs/1411.5654) Main Points: A bi-directional mapping m…

Link of the Paper: https://arxiv.org/abs/1411.4555 Main Points: A generative model ( NIC, GoogLeNet + LSTM ) based on a deep recurrent architecture: the model is trained to maximize the likelihoodP(S|I) of the target description sentence given the tr…