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An innovative object detection system for visually impaired individuals. Using YOLO V3 algorithm and the extensive COCO dataset, our system enables real-time object recognition . Utilizing OpenCV, …
(Outdated) A UAV object detection system based on YOLOv3, providing an interactive interface and `VisDrone2018` training scheme.
基于MindSpore的ResNet-50毒蘑菇识别
This is a rewrite by our group for the 2022 Computer Vision Final Assignment of the School of Intelligent Engineering of Sun Yat-sen University
基于MindSpore的YOLOv3-DarkNet53篮球检测项目
《动手学深度学习》的MindSpore实现。供MindSpore学习者配合李沐老师课程使用。
This is the MindSpore version of LatticeNet: Towards Lightweight Image Super-Resolution with Lattice Block
my super resolution project using DIV2K data set
Provides a Matlab class in which the user can list all feasible events given a validation matrix for the JPDA filter (Joint Probabilistic Data Association) and similar algorithms
Sensor fusion between Odometry and Lidar data using an Extended Kalman Filter.
Some basic algorithm used in Radar data process, including pulse compression/CFAR/monopulse、Kalman filter and fusion、arrary antenna design.
The solution of the data fusion course of SJTU. MTALAB code for KF/UKF/EKF/PF/FKF/DKF. 数据融合技术，卡尔曼滤波KF/无迹卡尔曼滤波UKF/拓展卡尔曼滤波EKF等的MATLAB实现
多假设目标跟踪/面向假设的多假设目标跟踪/HypothesisOriented Multi-Hypothesis Target Tracking / MHT/ HOMHT
Yoon Kim's Convolutional Neural Networks for Sentence Classification paper in PyTorch.
Python implementation of "Convolutional Neural Networks for Sentence Classification" (Kim, EMNLP 2014)
Implementation of Convolutional Neural Networks for Sentence Classification by Yoon Kim
基于深度学习的文本分类，实现基于CNN和RNN的文本分类
新闻文本分类，TextCNN模型，pytorch实现. gitee:https://gitee.com/worldcreator/News_Classification
Convolutional Neural Networks for Sentence Classification(TextCNN) implements by TensorFlow
Pytorch implementation of the paper Convolutional Neural Networks for Sentence Classification
Implementation of papers for text classification task on SST-1/SST-2