[{"name":"研究与应用","count":1376,"id":1},{"name":"论文与报告","count":1172,"id":2},{"name":"Researches and Applications","count":827,"id":3},{"name":"Papers and Reports","count":747,"id":4},{"name":"综述与评论","count":94,"id":5},{"name":"信息与动态","count":93,"id":6},{"name":"Surveys and Reviews","count":58,"id":7},{"name":"Research and Applications","count":20,"id":8},{"name":"Papers and Reorts","count":12,"id":9},{"name":"Intelligent Medical Treatment and Medical Image Processing","count":10,"id":10},{"name":"Parper and Report","count":10,"id":11},{"name":"Researchs and Applications","count":10,"id":12},{"name":"Special Research on Detection,Discrimination and Tracking of Visual Object","count":10,"id":13},{"name":"“共融机器人”专辑","count":10,"id":14},{"name":"“智能医疗及医学图像处理”专辑","count":10,"id":15},{"name":"“结构化特征学习的目标检测与识别”专题","count":10,"id":16},{"name":"“视觉目标检测、判别与跟踪”专题","count":10,"id":17},{"name":"\"深度学习算法及在图像与视觉的应用\"专题","count":9,"id":18},{"name":"\"深度学习设计与应用\"专题","count":9,"id":19},{"name":"Deep Learning Algorithms and the Applications in Image and Vision","count":9,"id":20},{"name":"Deep Learning Design and Application","count":9,"id":21},{"name":"论文报告","count":9,"id":22},{"name":"论文的报告","count":9,"id":23},{"name":"\"AI2.0+\"专辑","count":8,"id":24},{"name":"\"基于深度学习的图像处理\"专题","count":8,"id":25},{"name":"\"基于深度学习的目标检测与识别\"专题","count":8,"id":26},{"name":"\"自适应分类与聚类学习\"专题","count":8,"id":27},{"name":"Adaptive Learning for Classification and Clustering","count":8,"id":28},{"name":"Deep Learning Based Image Processing","count":8,"id":29},{"name":"Deep Learning Based Object Detection and Recognition","count":8,"id":30},{"name":"Researches and Application","count":8,"id":31},{"name":"通信与多模态感知联觉机理和智能融合","count":8,"id":32},{"name":"\"基于深度学习的图像理解及应用\"专题","count":7,"id":33},{"name":"\"结构化学习表示及其在目标检测与识别中的应用\"专题","count":7,"id":34},{"name":"Deep Learning Based Image Understanding and Its Applications","count":7,"id":35},{"name":"Special Issue of Academic Papers of the 27th Annual Meeting of the China Association for Science and Technology","count":7,"id":36},{"name":"Structural Learning Representation and Its Applications in Object Detection and Recognition","count":7,"id":37},{"name":"Synesthesia of Machines Mechanism and Intelligent Integration Theory for Multi-modal Sensing-Communication","count":7,"id":38},{"name":"第二十七届中国科协年会学术论文专刊","count":7,"id":39},{"name":"Deep Learning Based Pattern Classification and Detection","count":6,"id":40},{"name":"Granular Computing Theory and Application Research","count":6,"id":41},{"name":"“粒计算理论与应用研究”专栏","count":6,"id":42},{"name":"基于深度学习的模式分类与检测","count":6,"id":43},{"name":"面向开放环境的自适应感知研究进展","count":6,"id":44},{"name":"\"粒计算与知识获取\"专题","count":5,"id":45},{"name":"Adapative Perception and Learning of Open-Environment","count":5,"id":46},{"name":"Granular Computing and Knowledge Acquisition","count":5,"id":47},{"name":"Graph Neural Network Based Recommender System","count":5,"id":48},{"name":"Special Topics of Academic Papers at the 27th Annual Meeting of the China Association for Science and Technology","count":5,"id":49},{"name":"The Applications of Deep Learning in Image and Vision","count":5,"id":50},{"name":"基于图神经网络的推荐系统","count":5,"id":51},{"name":"深度学习在图像与视觉的应用","count":5,"id":52},{"name":"第二十七届中国科协年会学术论文专题","count":5,"id":53},{"name":"Detection and Recognition Algorithms in Realistic Scene","count":4,"id":54},{"name":"Metaheuristic Algorithm","count":4,"id":55},{"name":"Multi-granulation Attribute Representation and Its Application","count":4,"id":56},{"name":"Multi-prefence and Multi-modality Based Recommender Method","count":4,"id":57},{"name":"Network Science and Information Recommendation","count":4,"id":58},{"name":"Object Detection,Recognition and Adversarial Defense","count":4,"id":59},{"name":"Object Recognition and Tracking Orienting Computer Vision","count":4,"id":60},{"name":"Research on Reinforcement Learning","count":4,"id":61},{"name":"“多粒度属性表示及应用”专题","count":4,"id":62},{"name":"“强化学习研究”","count":4,"id":63},{"name":"“智能优化算法”专题","count":4,"id":64},{"name":"“网络科学与信息推荐”专题","count":4,"id":65},{"name":"基于多偏好与多模态的推荐方法研究","count":4,"id":66},{"name":"现实场景下的检测与识别算法","count":4,"id":67},{"name":"目标检测识别与对抗","count":4,"id":68},{"name":"面向视觉的目标识别与追踪","count":4,"id":69},{"name":"Survey and Review","count":1,"id":70},{"name":"Survey and Reviews","count":1,"id":71},{"name":"总目次","count":1,"id":72},{"name":"研述与评论","count":1,"id":73},{"name":"综述与展望","count":1,"id":74},{"name":"综述与应用","count":1,"id":75},{"name":"综述与报告","count":1,"id":76}]
