In this article, a comprehensive survey of deep learning-based (DLbased) human pose estimation (HPE) that can help researchers in the domain of computer vision is presented. HPE is among the fastest-growing research domains of computer vision and is used in solving se...
Deep Neural Networks and Tabular Data: A Survey——XGBoost依然是最优秀的算法模型 XGBoost依然是最优秀的!深度学习在CV、NLP和Text的处理已经被证明非常优秀,但是这都是同质数据(homogenous),而传统异质(heterogeneous)表格数据,在推荐系统、点击率预估、异常检测等中非常普遍,但是这样的数据相比前面,其特征之间语义关...
而比较恼人的是,这个predictive learning和contrastive learning的区分问题。 从下文对于predict learning的定义中可以看到: “如果模型能够从其他被掩盖或损坏的特征中推断出原始特征,则预计该模型在下游任务中是有效的”,predictive learning更接近于survey中提到的以autoencoder为代表的生成式自监督模型,因此下面中,将pred...
we have presented a comprehensive survey on deep learning-based POI recommendation systems. We have presented insightful findings of a plethora of recent research papers in this emerging area of research. We have categorized the POI recommendation models based on different deep learning paradigms and ...
Additionally, key sections are summarized in tables or visual formats for quick understanding. This survey is a valuable resource and a solid reference for researchers in the dynamic landscape of 3D human pose estimation.Similar content being viewed by others Deep learning in monocular 3D human pose...
Deep Neural Networks and Tabular Data: A Survey 深度神经网络与表格数据:综述 2022-04-18 论文地址 https://arxiv.org/pdf/2110.01889.pdf 深度神经网络已经是横行于视觉以及自然语言处理领域,但是为什么在表格数据上却表现平平呢, 这篇论文—— 啊 摘要的第一个单词就看不懂,Heterogeneous 异质性。
The great success of deep learning is mainly due to its scalability to encode large-scale data and to maneuver billions of model parameters. However, it is a challenge to deploy these cumbersome deep models on devices with limited resources, e.g., mobile phones and embedded devices, not only...
A project associated with this survey has been created at https://github.com/jingyi0000/VLM_survey.Index Terms: Visual recognition, vision-language model, pre-training, transfer learning, knowledge distillation, image classification, object detection, semantic segmentation, deep neural network, deep ...
LLM on Tabular Data Prediction and Understanding -- A Survey This repo is constructed for collecting and categorizing papers about diffusion models according to our survey paper——Large Language Models on Tabular Data -- A Survey. Considering the fast development of this field, we will continue ...
Machine Unlearning: A Survey CSUR 2023 An Introduction to Machine Unlearning arXiv 2022 Machine Unlearning: Its Need and Implementation Strategies IC3 2021 Making machine learning forget Annual Privacy Forum 2019 “Amnesia” - A Selection of Machine Learning Models That Can Forget User Data Very Fast...