視覚ベース予測のための深層学習サーベイ
Deep Learning for Vision-based Prediction: A Survey
視覚情報を用いた予測アルゴリズムを、動画・行動・軌道・身体動作などのカテゴリに分け、深層学習手法のアーキテクチャや学習法、評価指標、データセットを過去5年分まとめたサーベイ。
著者: Amir Rasouli
分類: cs.CV, cs.LG, cs.RO
原文アブストラクト
Vision-based prediction algorithms have a wide range of applications including autonomous driving, surveillance, human-robot interaction, weather prediction. The objective of this paper is to provide an overview of the field in the past five years with a particular focus on deep learning approaches. For this purpose, we categorize these algorithms into video prediction, action prediction, trajectory prediction, body motion prediction, and other prediction applications. For each category, we highlight the common architectures, training methods and types of data used. In addition, we discuss the common evaluation metrics and datasets used for vision-based prediction tasks. A database of all the information presented in this survey including, cross-referenced according to papers, datasets and metrics, can be found online at https://github.com/aras62/vision-based-prediction.
