Zobrazeno 1 - 10
of 558
pro vyhledávání: '"XU Zhenlin"'
Autor:
HUANG Dongbao, DONG Zhenqi, LI Shenshen, XU Zhenlin, ZHANG Hui, CHEN Xiangjun, XU Caiyun, HE Yizhu
Publikováno v:
Cailiao gongcheng, Vol 51, Iss 11, Pp 52-60 (2023)
The continuous casting mould is the most crucial core component of the continuous casting production line, which undertakes the important tasks of cooling, heat conduction, abrasion resistance and high-precision forming of the billet surface during t
Externí odkaz:
https://doaj.org/article/abcaf58b3a904bb49582a7a48d286a39
In this paper, we propose a novel concept of path consistency to learn robust object matching without using manual object identity supervision. Our key idea is that, to track a object through frames, we can obtain multiple different association resul
Externí odkaz:
http://arxiv.org/abs/2404.05136
Publikováno v:
E3S Web of Conferences, Vol 252, p 01022 (2021)
To investigate the small-signal stability of automatic generation control (AGC) system with constant communication delay, this paper establishes its state-space based on Padé approximation and conducts eigenvalue calculation. Then, by tracking the c
Externí odkaz:
https://doaj.org/article/419276e719c34ce3b123bcf70404ec34
Autor:
Xu, Zhenlin, Zhu, Yi, Deng, Tiffany, Mittal, Abhay, Chen, Yanbei, Wang, Manchen, Favaro, Paolo, Tighe, Joseph, Modolo, Davide
This paper presents novel benchmarks for evaluating vision-language models (VLMs) in zero-shot recognition, focusing on granularity and specificity. Although VLMs excel in tasks like image captioning, they face challenges in open-world settings. Our
Externí odkaz:
http://arxiv.org/abs/2306.16048
Autor:
Chen, Yanbei, Wang, Manchen, Mittal, Abhay, Xu, Zhenlin, Favaro, Paolo, Tighe, Joseph, Modolo, Davide
Multi-dataset training provides a viable solution for exploiting heterogeneous large-scale datasets without extra annotation cost. In this work, we propose a scalable multi-dataset detector (ScaleDet) that can scale up its generalization across datas
Externí odkaz:
http://arxiv.org/abs/2306.04849
Click-based interactive image segmentation aims at extracting objects with a limited user clicking. A hierarchical backbone is the de-facto architecture for current methods. Recently, the plain, non-hierarchical Vision Transformer (ViT) has emerged a
Externí odkaz:
http://arxiv.org/abs/2210.11006
Many contrastive representation learning methods learn a single global representation of an entire image. However, dense contrastive representation learning methods such as DenseCL (Wang et al., 2021) can learn better representations for tasks requir
Externí odkaz:
http://arxiv.org/abs/2210.05063
Deep learning models struggle with compositional generalization, i.e. the ability to recognize or generate novel combinations of observed elementary concepts. In hopes of enabling compositional generalization, various unsupervised learning algorithms
Externí odkaz:
http://arxiv.org/abs/2210.00482
Autor:
Wang, Yun, McClements, David Julian, Zhang, Zipei, Zhang, Ruojie, He, Kuang, Lin, Ziqiang, Peng, Xinwen, Xu, Zhenlin, Meng, Man, Ji, Hangyan, Zhao, Jianwei, Jin, Zhengyu, Chen, Long
Publikováno v:
In Food Chemistry 30 November 2024 459
Autor:
He, Kuang, Cheng, Hao, McClements, David Julian, Xu, Zhenlin, Meng, Man, Zou, Yidong, Chen, Guanxiong, Chen, Long
Publikováno v:
In Food Chemistry 15 November 2024 458