Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Junhyuk Hyun"'
Publikováno v:
IEEE Access, Vol 10, Pp 127601-127609 (2022)
In urban cities, the information about the type or class of street floors enables a wheeled mobile robot to perform many tasks ranging from traversability region identification, localization and the choice of wheel control strategy. In this paper, we
Externí odkaz:
https://doaj.org/article/9dbb67a7b39d49bc90eaff68b6d19d2b
Publikováno v:
IEEE Access, Vol 8, Pp 82066-82077 (2020)
Scene recognition is a kind of image recognition problems which is aimed at predicting the category of the place at which the image is taken. In this paper, a new scene recognition method using the convolutional neural network (CNN) is proposed. The
Externí odkaz:
https://doaj.org/article/d664bb9c96194e6a8278c4de1f2dae45
Publikováno v:
IEEE Transactions on Pattern Analysis and Machine Intelligence. 45:2595-2612
Semi-supervised video object segmentation (VOS) is to predict the segment of a target object in a video when a ground truth segmentation mask for the target is given in the first frame. Recently, space-time memory networks (STM) have received signifi
Publikováno v:
IEEE Transactions on Systems, Man, and Cybernetics: Systems. 52:5877-5888
Publikováno v:
IEEE/CAA Journal of Automatica Sinica. 9:187-204
The essential requirement for precise localization of a self-driving car is a lane-level map which includes road markings (RMs). Obviously, we can build the lane-level map by running a mobile mapping system (MMS) which is equipped with a high-end 3D
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 21:1216-1228
When pedestrian detection (PD) is implemented on a central processing unit (CPU), performing real-time processing using a classical sliding window is difficult. Therefore, an efficient proposal generation method is required. A new generation method,
Publikováno v:
IEEE Access, Vol 8, Pp 82066-82077 (2020)
Scene recognition is an image recognition problem aimed at predicting the category of the place at which the image is taken. In this paper, a new scene recognition method using the convolutional neural network (CNN) is proposed. The proposed method i
Publikováno v:
Expert Systems with Applications. 213:119242
Publikováno v:
Computer Vision – ECCV 2020 ISBN: 9783030585419
ECCV (22)
ECCV (22)
Semi-supervised video object segmentation (VOS) is a task that involves predicting a target object in a video when the ground truth segmentation mask of the target object is given in the first frame. Recently, space-time memory networks (STM) have re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::709e7ba22a3d5697ae52072df5fbc17c
https://doi.org/10.1007/978-3-030-58542-6_38
https://doi.org/10.1007/978-3-030-58542-6_38