Programming VIP

MMDetection——2. Quick start (translation) 1: Infer and train existing models and standard data sets MMDetection in In Model Zoo It provides hundreds of existing and existing detection models and supports multiple standard data sets, including Pascal, VOC, COCO, CityScapes, LVIS, etc. This note explains how to perform common tasks ...

Features: self attention layers, end-to-end set predictions, bipartite matching loss The DETR model has two important parts: 1) A set prediction loss that ensures a unique match between the real value and the predicted value. 2) An architecture that can predict (one-time) target sets and model their relationships. 3) Due to the addition of self ...

All codes and related articles in this article are only used for experience and technology exchange and sharing. It is prohibited to apply relevant technologies to improper ways. The risk of misuse of technology has nothing to do with me. This article is some records of my study. start Recently, we plan to do a target detection project again. ...

Paper core target Here, the author aims at the graph classification problem of GNN. Study the model level interpretation method. The specific way is to train a graph generator use f ( . ) f(.) ...

1. Basic information subjectAuthor and unitsourceparticular yearA Unified Generative Framework for Various NER SubtasksQiu Xipeng group, Fudan UniversityACL2021 13 Citations, 70 References Paper link: https://arxiv.org/pdf/2106.01223.pdf Thesis Code: https://github.com/yhcc/BARTNER 2. Key points Research topicsProblem backgroundCore method ...

Introduction to C + + Basics 1. Initial knowledge of C + + 1.1 the first C + + program Writing a C + + program is divided into four steps Create projectcreate a fileWrite codeRun program 1.1.1 create project Visual Studio is the main tool we use to write C + + programs. Let's open it first 1.1.2 creating files Right click the source ...

1, Write in front This article introduces an improved version of RNN - LSTM on the basis of my other blog post "understanding RNN in one article" 2, LSTM In the practical application of RNN, we find that when the number of time steps is large or the time steps are small, the gradient of cyclic neural network is prone to attenuation ...

1. Foreword At present, the common methods of point cloud detection are 1. The point cloud is divided into voxels for detection. Typical models include VoxelNet, SECOND, etc; However, Dr. Shi, the author of this paper, proposed that this method will cause quantitative information loss. 2. Project the point cloud to the front view or aerial v ...

Pytorch Sampler When training neural network, if the amount of data is too large to put the data into the network for training at one time, it is necessary to read the data in batches. This problem involves how to read data from the data set. PyTorch framework provides Sampler base class and multiple subclasses to realize data sampling in ...

preface I just got it in the pit. I just got it again. Step 1 of CV: start from environment construction! 1. Environmental preparation (1) Install Visual Studio You need to use C + + to install the compilation library, so you need to install Microsoft Visual Studio. The most common version is 2019. The latest 2022 version should also b ...