第三部分:深度学习论文阅读路线之3.1

时间:2021-06-07 11:35:24
【文件属性】:
文件名称:第三部分:深度学习论文阅读路线之3.1
文件大小:100.06MB
文件格式:RAR
更新时间:2021-06-07 11:35:24
深度学习 论文阅读路线 想入门深度学习,导师让阅读论文,不知从何下手,推荐阅读路线 2 Deep Learning Method 由于文档上传限制,分为三个部分上传,第三个部分分为两部分上传,每个部分都按照顺序分类,可以依次阅读,顺序式学习 第一部分:深度学习论文阅读路线之一 第二部分:深度学习论文阅读路线之二 第三部分:深度学习论文阅读路线之三
【文件预览】:
3.2 Object Detection
----You only look once Unified, real-time object detection.pdf(4.98MB)
----Mask R-CNN.pdf(7.34MB)
----Deep neural networks for object detection.pdf(1.16MB)
----Spatial pyramid pooling in deep convolutional networks for visual recognition.pdf(3.97MB)
----Faster R-CNN Towards real-time object detection with region proposal networks.pdf(6.59MB)
----Fast r-cnn.pdf(712KB)
----Girshick_Rich_Feature_Hierarchies_2014_CVPR_paper.pdf(1.76MB)
----SSD Single Shot MultiBox Detector.pdf(2.38MB)
----R-FCN Object Detection via Region-based Fully Convolutional Networks.pdf(8.62MB)
3.3 Visual Tracking
----Beyond Correlation Filters Learning Continuous Convolution Operators for Visual Tracking.pdf(1.74MB)
----Transferring rich feature hierarchies for robust visual tracking.pdf(2.05MB)
----Learning a deep compact image representation for visual tracking.pdf(1.69MB)
----Visual tracking with fully convolutional networks.pdf(1MB)
----Learning to Track at 100 FPS with Deep Regression Networks.pdf(2.28MB)
----Modeling and Propagating CNNs in a Tree Structure for Visual Tracking.pdf(8.3MB)
----Fully-Convolutional Siamese Networks for Object Tracking.pdf(1.73MB)
3.1 NLP(Natural Language Processing)
----Character-Aware Neural Language Models.pdf(469KB)
----Distributed representations of words and phrases and their compositionality.pdf(109KB)
----Ask Me Anything Dynamic Memory Networks for Natural Language Processing.pdf(902KB)
----Sequence to sequence learning with neural networks.pdf(140KB)
----Bag of Tricks for Efficient Text Classification.pdf(70KB)
----Very Deep Convolutional Networks for Natural Language Processing.pdf(91KB)
----Joint Learning of Words and Meaning Representations for Open-Text Semantic Parsing.pdf(374KB)
----Towards AI-Complete Question Answering A Set of Prerequisite Toy Tasks.pdf(195KB)
----Teaching Machines to Read and Comprehend.pdf(6.04MB)
3.4 Image Caption
----From captions to visual concepts and back.pdf(2.95MB)
----Long-term recurrent convolutional networks for visual recognition and description.pdf(2.68MB)
----Baby talk Understanding and generating image descriptions.pdf(9.85MB)
----Learning a recurrent visual representation for image caption generation.pdf(4.28MB)
----Deep captioning with multimodal recurrent neural networks (m-rnn).pdf(2.29MB)
----Show, attend and tell Neural image caption generation with visual attention.pdf(9.14MB)
----Deep visual-semantic alignments for generating image descriptions.pdf(4.95MB)
----Deep fragment embeddings for bidirectional image sentence mapping.pdf(7.38MB)
----Every picture tells a story Generating sentences from images.pdf(397KB)
----Show and tell A neural image caption generator.pdf(658KB)

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