全国大学生电子设计竞赛常用电路模块制作-300页.pdf 2001年（第五届） 2003年（第六届） 2005年（第七届） 2007年（第八届） 2009年（第九届） 2011年（第十届） 2013年（第十一届） 2015年（第十二届） 2016年省赛 2017年（第十三届）

包括经典的分类网络: AlexNet,MaxOut,InceptionV1,VGG,InceptionV2,InceptionV3,ResNet,Xception,ResNext,MobileNet-V1,DRN,DPN,DenseNet,MobileNet-V2,MobileNet-V3 语义分割网络: FCN,Unet,InstanceFCN,DeepLab-V1,DeeplabV3,SeNet,DeeplabV3+ 目标探测网络: SPP,RCNN,Fast R-CNN,Net,SSD,R-FCN,Faster R-CNN,MaskR-CNN,YOLO 另有NLP,机器翻译,图像风格转换论文若干

2019、2018、2017年美赛（美国大学生数学建模竞赛）O奖（特等奖）论文打包合集，A题B题C题D题E题F题均有，高清pdf版。

孤立森林原理及应用论文合集。主要包含孤立森林两篇原理性论文，变种及应用，异常检测原理，方便大家查阅使用。

25篇机器学习经典论文合集，有需要欢迎积分自取 Efficient sparse coding algorithms论文附有代码 [1] Zheng S, Kwok J T. Follow the moving leader in deep learning[C]//Proceedings of the 34th International Conference on Machine Learning-Volume 70. JMLR. org, 2017: 4110-4119. [2] Kalai A, Vempala S. Efficient algorithms for online decision problems[J]. Journal of Computer and System Sciences, 2005, 71(3): 291-307. [3] Kingma, D. and Ba, J. Adam: A method for stochastic optimization. In Proceedings of the International Conference for Learning Representations, 2015. [4] Lee H, Battle A, Raina R, et al. Efficient sparse coding algorithms[C]//Advances in neural information processing systems. 2007: 801-808. [5] Fan J, Ding L, Chen Y, et al. Factor Group-Sparse Regularization for Efficient Low-Rank Matrix Recovery[J]. 2019. [6] Z. Lai, Y. Chen, J. Wu, W. W. Keung, and F. Shen, “Jointly sparse hashing for image retrieval,” IEEE Transactions on Image Processing, vol. 27, no. 12, pp. 6147–6158, 2018. [7] Z. Zhang, Y. Chen, and V. Saligrama, “Efficient training of very deep neural networks for supervised hashing,” in Proc. IEEE Int. Conf. Computer Vision and Pattern Recognition, 2016, pp. 1487–1495. [8] Wei-Shi Zheng, Shaogang Gong, Tao Xiang. Person re-identification by probabilistic relative distance comparison[C]// CVPR 2011. IEEE, 2011. [9] Liao S, Hu Y, Zhu X, et al. Person re-identification by local maximal occurrence representation and metric learning[C]//Proceedings of the IEEE conference on computer vision and pattern recognition. 2015: 2197-2206. [10] Liu X, Li H, Shao J, et al. Show, tell and discriminate: Image captioning by self-retrieval with partially labeled data[C]//Proceedings of the European Conference on Computer Vision (ECCV). 2018: 338-354. [11] Yao T, Pan Y, Li Y, et al. Exploring visual relationship for image captioning[C]//Proceedings of the European conference on computer vision (ECCV). 2018: 684-699. [12] Chao Dong, Chen Change Loy, Kaiming He, and Xiaoou Tang., ”Image

包含ICLR2021、WWW2021、SIGIR2021、AAAI2021、NIPS2020等十一个顶会60多篇论文！

自动驾驶（无人驾驶）论文合集，共100多篇。 arch A functional architecture for autonomous driving A functional reference architecture for autonomous driving A Standard Driven Software Architecture for Fully_Autonomous Vehicles CAAD_ Computer Architecture for Autonomous Driving The Architectural Implications of Autonomous Driving-Constraints and Acceleration Towards a Functional System Architecture for_Automated Vehicles ASSESSMENT Driving Style Recognition for Intelligent __Vehicle Control and Advanced Driver Assistance_ A Survey Integrating Driving Behavior and Traffic Context__through Signal Symbolization for Data Reduction_and Risky Lane Change Detection endtoend ALVINN_ __AN AUTONOMOUS LAND VEHICLE IN A _NEURAL NETWORK End to End Learning for Self-Driving Cars hardware AutonomousCar-ASPLOS18 hdmap Highiy Efficient HD Map Creation_ __Acceierating Mapping Process with GPUs HMI How can humans understand their automated cars_ HMI principles, __problems and solutions Human-Machine Interaction for__Vehicles_ Review and Outlook localization Accurate Odometry and Error Modelling for a Mobile Robot Autonomous Vehicle Navigation in Rural Environments without Detailed_ Prior Maps High Speed Navigation of Unrehearsed Terrain___Red Team Technology for Grand Challenge 2004 Localization in highly dynamic environments__using dual-timescale NDT-MCL Map-Based Precision Vehicle Localization_in Urban Environments Road Marking Detection Using LIDAR Reflective Intensity Data and its__Application to Vehicle Localization survey A Survey of the State-of-the-Art Localisation __Techniques and Their Potentials for Autonomous _Vehicle Applications Simultaneous Localization And Mapping_ A Survey of_Current Trends in Autonomous Driving network Information-Centric Networking for __Connected Vehicles___A Survey and Future Perspectives Internet of Vehicles_ From Intelligent Grid to__Autonomous Cars and Vehicular Clouds Internet of Vehicles_ From intelligent__grid to autonomous cars and_vehicular fogs

整理了一些车载毫米波雷达标定方法的论文

遥感图像处理论文合集，包含高光谱遥感多个方向，适合遥感入门

CNN经典网络模型-论文合集【综述】，LeNet AlexNet GoogleNet ResNet CNN