随笔分类 - 论文阅读
摘要:An Empirical Evaluation of Generic Convolutional and Recurrent Networks for Sequence Modeling Original time: 2018-05-16 16:09:15 Updated on 2019-09-27
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摘要:Multi-attention Network for One Shot Learning 2018-05-15 22:35:50 本文的贡献点在于: 1. 表明类别标签信息对 one shot learning 可以提供帮助,并且设计一种方法来挖掘该信息; 2. 提出一种 attention ne
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摘要:Tracking by Natural Language Specification 2018-04-27 15:16:13 Paper: http://openaccess.thecvf.com/content_cvpr_2017/papers/Li_Tracking_by_Natural_CVP
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摘要:Diffusion-Convolutional Neural Networks (传播-卷积神经网络)2018-04-09 21:59:02 1. Abstract: 我们提出传播-卷积神经网络(DCNNs),一种处理 graph-structured data 的新模型。随着 DCNNs 的介绍,
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摘要:Deep Meta Learning for Real-Time Visual Tracking based on Target-Specific Feature Space 2018-01-04 15:58:15 Paper: https://arxiv.org/pdf/1712.09153.pd
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摘要:SeqGAN: Sequence generative adversarial nets with policy gradient AAAI-2017 Paper: https://arxiv.org/abs/1609.05473 Offical Tensorflow Code: https://g
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摘要:文章来源:Attentional Action-Driven Deep Network for Visual Object Tracking 博士论文(2017年8月份完稿) http://s-space.snu.ac.kr/bitstream/10371/136793/1/000000145905
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摘要:Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments 2017-10-25 16:38:23 【Project Page】https://blog.openai.com/learning-to-cooperat
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摘要: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 ob
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摘要: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/700
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摘要:Deep Attributes Driven Multi-Camera Person Re-identification 2017-06-28 21:38:55 【Motivation】 本文的网络设计主要分为三个部分: Stage 1: Fully-supervised dCNN training
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摘要:Learning Cross-Modal Deep Representations for Robust Pedestrian Detection 2017-04-11 19:40:22 Motivation: 本文主要是考虑了在光照极端恶劣的情况下,如何充分的利用 thermal data 进行协
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摘要:PredNet Deep Predictive coding networks for video prediction and unsupervised learning ICLR 2017 2017.03.12 Code and video examples can be found at: h
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摘要:Learning to Compare Image Patches via Convolutional Neural Networks Reading Summary 2017.03.08 Target: this paper attempt to learn a geneal similarity
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摘要:Co-saliency Detection via A Self-paced Multiple-instance Learning Framework T-PAMI 2016 摘要:Co-saliency detection 从一组图像中提取出共同显著的物体。一方面,传统的检测方法严重依赖于手工设计
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摘要:Hybrid computing using a neural network with dynamic external memory Nature 2016 updated on 2018-07-21 15:30:31 Paper:http://www.nature.com/nature/jou
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