1 code implementation • 22 Oct 2023 • Chunlei Wang, Wenquan Feng, Xiangtai Li, Guangliang Cheng, Shuchang Lyu, Binghao Liu, Lijiang Chen, Qi Zhao
While current foundational models excel at various visual language tasks, there's a noticeable absence of models specifically tailored for open-vocabulary visual grounding.
1 code implementation • 23 Jul 2023 • Menghao Li, Chunlei Wang, Wenquan Feng, Shuchang Lyu, Guangliang Cheng, Xiangtai Li, Binghao Liu, Qi Zhao
The proposed framework is evaluated on five regular VG datasets and two newly constructed robust VG datasets.
1 code implementation • 13 Jan 2023 • Qi Zhao, Shuchang Lyu, Binghao Liu, Lijiang Chen, Hongbo Zhao
We first propose source student backbone and target student backbone to respectively extract the source-style and target-style feature for both source and target images.
no code implementations • 1 Oct 2022 • Binghao Liu, Boyu Yang, Lingxi Xie, Ren Wang, Qi Tian, Qixiang Ye
LDC is built upon a parameterized calibration unit (PCU), which initializes biased distributions for all classes based on classifier vectors (memory-free) and a single covariance matrix.
1 code implementation • 14 Jul 2022 • Qi Zhao, Shuchang Lyu, Wenpei Bai, Linghan Cai, Binghao Liu, Guangliang Cheng, Meijing Wu, Xiubo Sang, Min Yang, Lijiang Chen
To solve this problem, we propose a Multi-Modality Ovarian Tumor Ultrasound (MMOTU) image dataset containing 1469 2d ultrasound images and 170 contrast enhanced ultrasonography (CEUS) images with pixel-wise and global-wise annotations.
no code implementations • 9 Oct 2021 • Qi Zhao, Xu Wang, Shuchang Lyu, Binghao Liu, Yifan Yang
To handle these two issues, we propose a feature consistency driven attention erasing network (FCAENet) for fine-grained image retrieval.
1 code implementation • 14 Aug 2021 • Qi Zhao, Binghao Liu, Shuchang Lyu, Huojin Chen
To deal with the above two issues, we propose self-distillation embedded supervised affinity attention model to improve the performance of few-shot segmentation task.
1 code implementation • CVPR 2021 • Binghao Liu, Yao Ding, Jianbin Jiao, Xiangyang Ji, Qixiang Ye
Encouraging progress in few-shot semantic segmentation has been made by leveraging features learned upon base classes with sufficient training data to represent novel classes with few-shot examples.
Ranked #68 on Few-Shot Semantic Segmentation on COCO-20i (1-shot)
no code implementations • 6 Apr 2021 • Boyu Yang, Mingbao Lin, Binghao Liu, Mengying Fu, Chang Liu, Rongrong Ji, Qixiang Ye
By tentatively expanding network nodes, LEC-Net enlarges the representation capacity of features, alleviating feature drift of old network from the perspective of model regularization.
1 code implementation • IEEE Transactions on Image Processing 2021 • Binghao Liu, Jianbin Jiao, Qixiang Ye
HFA is formulated as a bilinear model, which takes charge of the pixel-wise dense correlation (bilinear feature activation) between query and support images in a systematic way.