no code implementations • ECCV 2020 • Haochen Wang, Xu-Dong Zhang, Yutao Hu, Yandan Yang, Xian-Bin Cao, Xian-Tong Zhen
The crux of few-shot segmentation is to extract object information from the support image and then propagate it to guide the segmentation of query images.
1 code implementation • 14 Feb 2024 • Yutao Hu, Tianbin Li, Quanfeng Lu, Wenqi Shao, Junjun He, Yu Qiao, Ping Luo
Importantly, all images in this benchmark are sourced from authentic medical scenarios, ensuring alignment with the requirements of the medical field and suitability for evaluating LVLMs.
1 code implementation • ICCV 2023 • Yutao Hu, Qixiong Wang, Wenqi Shao, Enze Xie, Zhenguo Li, Jungong Han, Ping Luo
In this paper, we address this issue from two perspectives.
1 code implementation • 7 Aug 2023 • Wenqi Shao, Yutao Hu, Peng Gao, Meng Lei, Kaipeng Zhang, Fanqing Meng, Peng Xu, Siyuan Huang, Hongsheng Li, Yu Qiao, Ping Luo
Secondly, it conducts an in-depth analysis of LVLMs' predictions using the ChatGPT Ensemble Evaluation (CEE), which leads to a robust and accurate evaluation and exhibits improved alignment with human evaluation compared to the word matching approach.
no code implementations • 30 Sep 2022 • Longlong Chen, Yulong Wang, Youheng Liu, Yutao Hu, Libin Wang
In this paper, we propose a novel Double Graphs Regularized Multi-view Subspace Clustering (DGRMSC) method, which aims to harness both global and local structural information of multi-view data in a unified framework.
no code implementations • 28 Sep 2022 • Libin Wang, Yulong Wang, Shiyuan Wang, Youheng Liu, Yutao Hu, Longlong Chen, Hong Chen
Tensor Robust Principal Component Analysis (TRPCA), which aims to recover a low-rank tensor corrupted by sparse noise, has attracted much attention in many real applications.
no code implementations • 1 Mar 2021 • Yutao Hu
However, they are still inefficient to fully use the cross-layer information based on the simple aggregation strategy, while existing pairwise learning methods also fail to explore long-range interactions between different images.
Ranked #8 on Fine-Grained Image Classification on FGVC Aircraft
Fine-Grained Image Classification Fine-Grained Visual Categorization
no code implementations • ECCV 2020 • Yutao Hu, Xiao-Long Jiang, Xuhui Liu, Baochang Zhang, Jungong Han, Xian-Bin Cao, David Doermann
Most of the recent advances in crowd counting have evolved from hand-designed density estimation networks, where multi-scale features are leveraged to address the scale variation problem, but at the expense of demanding design efforts.