Zobrazeno 1 - 10
of 148
pro vyhledávání: '"YANG Dongming"'
Publikováno v:
Dizhi lixue xuebao, Vol 29, Iss 3, Pp 417-429 (2023)
We carried out hydraulic fracturing in-situ stress measurements in an 1881-m deep borehole at the Shuiwangzhuang gold deposit and obtained the variation law of deep in-situ stress with depth in the mining area. The measurement results show that the m
Externí odkaz:
https://doaj.org/article/4282951b23aa4158b783e280251f1280
Publikováno v:
In Expert Systems With Applications 15 December 2024 258
Autor:
Yang, Dongming, Liu, Yingnan, Ren, Yupeng, Hao, Lili, Zhang, Xichen, Chen, Hongjun, Liu, Jingyi
Publikováno v:
In Experimental Parasitology July 2024 262
Arbitrary-shaped text detection is a challenging task since curved texts in the wild are of the complex geometric layouts. Existing mainstream methods follow the instance segmentation pipeline to obtain the text regions. However, arbitraryshaped text
Externí odkaz:
http://arxiv.org/abs/2106.12720
Human-Object Interaction (HOI) detection devotes to learn how humans interact with surrounding objects. Latest end-to-end HOI detectors are short of relation reasoning, which leads to inability to learn HOI-specific interactive semantics for predicti
Externí odkaz:
http://arxiv.org/abs/2104.15015
Weakly-supervised temporal action localization (WS-TAL) aims to localize actions in untrimmed videos with only video-level labels. Most existing models follow the "localization by classification" procedure: locate temporal regions contributing most t
Externí odkaz:
http://arxiv.org/abs/2103.16392
Publikováno v:
In Chemical Engineering Journal 15 March 2024 484
Autor:
Yang, Dongming, Zou, Yuexian
Human-Object Interaction (HOI) detection devotes to learn how humans interact with surrounding objects via inferring triplets of < human, verb, object >. However, recent HOI detection methods mostly rely on additional annotations (e.g., human pose) a
Externí odkaz:
http://arxiv.org/abs/2007.06925
Since detecting and recognizing individual human or object are not adequate to understand the visual world, learning how humans interact with surrounding objects becomes a core technology. However, convolution operations are weak in depicting visual
Externí odkaz:
http://arxiv.org/abs/2003.05242
C-RPNs: Promoting Object Detection in real world via a Cascade Structure of Region Proposal Networks
Recently, significant progresses have been made in object detection on common benchmarks (i.e., Pascal VOC). However, object detection in real world is still challenging due to the serious data imbalance. Images in real world are dominated by easy sa
Externí odkaz:
http://arxiv.org/abs/1908.06665