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pro vyhledávání: '"Zou, Cheng"'
Autor:
Li, Wen, Fang, Muyuan, Zou, Cheng, Gong, Biao, Zheng, Ruobing, Wang, Meng, Chen, Jingdong, Yang, Ming
Despite the burst of innovative methods for controlling the diffusion process, effectively controlling image styles in text-to-image generation remains a challenging task. Many adapter-based methods impose image representation conditions on the denoi
Externí odkaz:
http://arxiv.org/abs/2409.02543
Autor:
Xie, Kangyang, Yang, Binbin, Chen, Hao, Wang, Meng, Zou, Cheng, Xue, Hui, Yang, Ming, Shen, Chunhua
Beyond the superiority of the text-to-image diffusion model in generating high-quality images, recent studies have attempted to uncover its potential for adapting the learned semantic knowledge to visual perception tasks. In this work, instead of tra
Externí odkaz:
http://arxiv.org/abs/2403.11077
Autor:
Li, Wen, Zou, Cheng, Wang, Meng, Xu, Furong, Zhao, Jianan, Zheng, Ruobing, Cheng, Yuan, Chu, Wei
In person re-identification (re-ID) task, it is still challenging to learn discriminative representation by deep learning, due to limited data. Generally speaking, the model will get better performance when increasing the amount of data. The addition
Externí odkaz:
http://arxiv.org/abs/2302.14335
Automatic snake species recognition is important because it has vast potential to help lower deaths and disabilities caused by snakebites. We introduce our solution in SnakeCLEF 2022 for fine-grained snake species recognition on a heavy long-tailed c
Externí odkaz:
http://arxiv.org/abs/2207.01216
Autor:
He, Qinju, Zhang, Yuanzhen, Li, Wenchao, Chen, Saisai, Xiong, Jiangling, Zhao, Ruizhe, Yuan, Kai, Hu, Qiang, Liu, Song, Gao, Guozhen, Bedford, Mark T., Tang, Dean G., Xu, Bin, Zou, Cheng, Zhang, Dingxiao
Publikováno v:
In Cancer Letters 10 October 2024 602
Autor:
Xu, Tieling, Yang, Junya, Li, Dongsheng, Challa, Mahesh, Zou, Cheng, Deng, Ping, Zhang, Shao-Lin, Xu, Biao
Publikováno v:
In European Journal of Medicinal Chemistry 5 September 2024 275
Human-Object Interaction (HOI) detection is a fundamental task in high-level human-centric scene understanding. We propose PhraseHOI, containing a HOI branch and a novel phrase branch, to leverage language prior and improve relation expression. Speci
Externí odkaz:
http://arxiv.org/abs/2112.07383
Triplet loss is a widely adopted loss function in ReID task which pulls the hardest positive pairs close and pushes the hardest negative pairs far away. However, the selected samples are not the hardest globally, but the hardest only in a mini-batch,
Externí odkaz:
http://arxiv.org/abs/2112.04761
Autor:
Wu, Yishuo, Ma, Cong, Shang, Guangyang, Wang, Peixiang, Shi, Yingjie, Song, Zhexu, Yu, Meina, Gao, Yanzi, Wang, Qian, Zou, Cheng, Xiao, Jiumei, Yang, Huai
Publikováno v:
In Composites Part A December 2024 187
Autor:
Feng, Yue, Xu, Jianjun, Yuan, Baohua, He, Longxiang, Zhang, Luoning, Hu, Yongchuan, Lyu, Liezheng, Zou, Cheng, Wang, Qian, Yu, Meina, Chen, Yuanwei, Gao, Yanzi, Yang, Huai
Publikováno v:
In Composites Part A December 2024 187