1 code implementation • 26 Mar 2024 • Yuhuan Yang, Chaofan Ma, Jiangchao Yao, Zhun Zhong, Ya zhang, Yanfeng Wang
Referring Image Segmentation (RIS) leveraging transformers has achieved great success on the interpretation of complex visual-language tasks.
no code implementations • NeurIPS 2023 • Chaofan Ma, Yuhuan Yang, Chen Ju, Fei Zhang, Ya zhang, Yanfeng Wang
The results show the superior performance of attribute decomposition-aggregation.
no code implementations • 5 Jul 2023 • Yuhuan Yang, Chaofan Ma, Chen Ju, Ya zhang, Yanfeng Wang
In this paper, we define a unified setting termed as open-set semantic segmentation (O3S), which aims to learn seen and unseen semantics from both visual examples and textual names.
no code implementations • 17 Mar 2023 • Chaofan Ma, Yuhuan Yang, Chen Ju, Fei Zhang, Jinxiang Liu, Yu Wang, Ya zhang, Yanfeng Wang
However, the challenges exist as there is one structural difference between generative and discriminative models, which limits the direct use.
1 code implementation • 27 Oct 2022 • Chaofan Ma, Yuhuan Yang, Yanfeng Wang, Ya zhang, Weidi Xie
When trained at a sufficient scale, self-supervised learning has exhibited a notable ability to solve a wide range of visual or language understanding tasks.
no code implementations • 20 Aug 2022 • Wentao Liu, Chaofan Ma, Yuhuan Yang, Weidi Xie, Ya zhang
The goal of this paper is to interactively refine the automatic segmentation on challenging structures that fall behind human performance, either due to the scarcity of available annotations or the difficulty nature of the problem itself, for example, on segmenting cancer or small organs.