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Learning to Read Chest X-Rays:Recurrent Neural Cascade Model for Automated Image Annotation (CVPR 2016) Goals: -Learn to read chest x-rays from an exi 阅读全文
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Image Caption: Automatically describing the content of an image domain:CV+NLP Category:(by myself, you can read the survey for detail.) CNN+RNN, with 阅读全文
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LSTM: http://colah.github.io/posts/2015-08-Understanding-LSTMs/ 深度学习领域PyTorch项目-git源码整理 https://blog.csdn.net/u012969412/article/details/77479269?utm_ 阅读全文
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Neural Storyteller (Krios et al. 2015) : NST breaks down the task into two steps, which first generate unstylish captions than apply style shift techn 阅读全文
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Text Style Transfer主要是指Non-Parallel Data条件下的,具体的paper list见: https://github.com/fuzhenxin/Style-Transfer-in-Text Delete, Retrieve, Generate: A Simple 阅读全文
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这篇涉及到以下三篇论文: Unpaired Image Captioning by Language Pivoting (ECCV 2018) Show, Tell and Discriminate: Image Captioning by Self-retrieval with Partially 阅读全文
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Code from: https://github.com/SeitaroShinagawa/simple_beamsearch 阅读全文
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说明: 这个合辑里面的论文不全是Image Caption, 但大多和Image Caption相关, 同时还有一些Workshop论文。 Guiding Long-Short Term Memory for Image Caption Generation (ICCV 2015) Highligh 阅读全文
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Image caption generation: https://github.com/eladhoffer/captionGen Simple encoder-decoder image captioning: https://github.com/udacity/CVND Image-Capt 阅读全文
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A Hierarchical Approach for Generating Descriptive Image Paragraphs (CPVR 2017) Li Fei-Fei. 数据集地址: http://cs.stanford.edu/people/ranjaykrishna/im2p/in 阅读全文
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2017 Python最新面试题及答案16道题 15个重要Python面试题 测测你适不适合做Python? torch.squeeze() Returns a tensor with all the dimensions of input of size 1 removed. Python 3:f 阅读全文
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LSTM’s in Pytorch Example: An LSTM for Part-of-Speech Tagging Exercise: Augmenting the LSTM part-of-speech tagger with character-level features Sequen 阅读全文
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Word Embeddings: Encoding Lexical Semantics Getting Dense Word Embeddings Word Embeddings in Pytorch An Example: N-Gram Language Modeling Exercise: Co 阅读全文
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原文地址: Generating Names with Character-Level RNN 搬运只为督促自己学习,没有其他目的。 Preparing the Data Download the data from here and extract it to the current direct 阅读全文
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原文地址:https://github.com/Kaixhin/grokking-pytorch PyTorch is a flexible deep learning framework that allows automatic differentiation(自动求导) through dyn 阅读全文