Zobrazeno 1 - 10
of 13
pro vyhledávání: '"Zhao, Xiaoyu"'
Multi-object tracking in sports scenes plays a critical role in gathering players statistics, supporting further analysis, such as automatic tactical analysis. Yet existing MOT benchmarks cast little attention on the domain, limiting its development.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3a7e6be1d19033bc4112be1314ebcc6c
http://arxiv.org/abs/2304.05170
http://arxiv.org/abs/2304.05170
Publikováno v:
Science China Information Sciences. 66
Temperature field reconstruction of heat source systems (TFR-HSS) with limited monitoring sensors occurred in thermal management plays an important role in real time health detection system of electronic equipment in engineering. However, prior metho
Recovering a globally accurate complex physics field from limited sensor is critical to the measurement and control in the aerospace engineering. General reconstruction methods for recovering the field, especially the deep learning with more paramete
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::638498b7ceab0e317fc1ea0d28013241
http://arxiv.org/abs/2302.11940
http://arxiv.org/abs/2302.11940
Perception of the full state is an essential technology to support the monitoring, analysis, and design of physical systems, one of whose challenges is to recover global field from sparse observations. Well-known for brilliant approximation ability,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::678a3045072a4e60bd80f39f3991c368
http://arxiv.org/abs/2302.09808
http://arxiv.org/abs/2302.09808
Data-driven prediction of fluid flow and temperature distribution in marine and aerospace engineering has received extensive research and demonstrated its potential in real-time prediction recently. However, usually large amounts of high-fidelity dat
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::daec1d97930dd7a86c98422be147f2d4
This paper presents a fast lidar-inertial odometry (LIO) that is robust to aggressive motion. To achieve robust tracking in aggressive motion scenes, we exploit the continuous scanning property of lidar to adaptively divide the full scan into multipl
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::46a53de0de907f017f6344e30fc9e9d6
Temperature field prediction is of great importance in the thermal design of systems engineering, and building the surrogate model is an effective way for the task. Generally, large amounts of labeled data are required to guarantee a good prediction
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ceb76f55de7b221811473d95fed0272a
As a powerful way of realizing semi-supervised segmentation, the cross supervision method learns cross consistency based on independent ensemble models using abundant unlabeled images. However, the wrong pseudo labeling information generated by cross
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::40e484643d39ca236b9eed503c2f9407
http://arxiv.org/abs/2203.05118
http://arxiv.org/abs/2203.05118
Few-shot segmentation enables the model to recognize unseen classes with few annotated examples. Most existing methods adopt prototype learning architecture, where support prototype vectors are expanded and concatenated with query features to perform
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::37b9d5eef70db1e7e397e58b88ed418a
http://arxiv.org/abs/2203.04095
http://arxiv.org/abs/2203.04095
Physical field reconstruction is highly desirable for the measurement and control of engineering systems. The reconstruction of the temperature field from limited observation plays a crucial role in thermal management for electronic equipment. Deep l
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::6d45c0b9b1f1ec6adb4524f85e36b0a4
http://arxiv.org/abs/2201.10860
http://arxiv.org/abs/2201.10860