Zobrazeno 1 - 10
of 93
pro vyhledávání: '"Qi, Yonggang"'
We propose Sym-Net, a novel framework for Few-Shot Segmentation (FSS) that addresses the critical issue of intra-class variation by jointly learning both query and support prototypes in a symmetrical manner. Unlike previous methods that generate quer
Externí odkaz:
http://arxiv.org/abs/2407.19306
Creative sketch is a universal way of visual expression, but translating images from an abstract sketch is very challenging. Traditionally, creating a deep learning model for sketch-to-image synthesis needs to overcome the distorted input sketch with
Externí odkaz:
http://arxiv.org/abs/2305.18812
This paper studies the problem of zero-short sketch-based image retrieval (ZS-SBIR), however with two significant differentiators to prior art (i) we tackle all variants (inter-category, intra-category, and cross datasets) of ZS-SBIR with just one ne
Externí odkaz:
http://arxiv.org/abs/2303.14348
Autor:
Qin, Rong, Yang, Shengping, Fu, Bin, Chen, Yang, Zhou, Mengzhou, Qi, Yonggang, Xu, Ning, Wu, Qian, Hua, Qiang, Wu, Yongkang, Liu, Zhijie
Publikováno v:
In LWT 1 July 2024 203
Autor:
Shao, Ruixiang, Cao, Wendan, Huang, Xuejun, Zhang, Na, Ma, Lixin, Huang, Yang, Huang, Yi, Mao, Jianwei, Qi, Yonggang, Cheng, Shuiyuan, Chen, Xiaoqiang
Publikováno v:
In Industrial Crops & Products 1 November 2024 219
The key challenge in designing a sketch representation lies with handling the abstract and iconic nature of sketches. Existing work predominantly utilizes either, (i) a pixelative format that treats sketches as natural images employing off-the-shelf
Externí odkaz:
http://arxiv.org/abs/2108.11636
Autor:
Chen, Shangyan, Zheng, Hao, Yang, Shengping, Qi, Yonggang, Li, Wei, Kang, Sini, Hu, Han, Hua, Qiang, Wu, Yongkang, Liu, Zhijie
Publikováno v:
In LWT 1 March 2024 195
Perceptual organization remains one of the very few established theories on the human visual system. It underpinned many pre-deep seminal works on segmentation and detection, yet research has seen a rapid decline since the preferential shift to learn
Externí odkaz:
http://arxiv.org/abs/2104.03589
Autor:
Wu, Qian, Kong, Yingfei, Liang, Yinggang, Niu, Mengyao, Feng, Nianjie, Zhang, Chan, Qi, Yonggang, Guo, Zhiqiang, Xiao, Juan, Zhou, Mengzhou, He, Yi, Wang, Chao
Publikováno v:
In Food Chemistry: X 30 October 2023 19
Akademický článek
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