1 code implementation • 16 May 2024 • Chengxiang Fan, Muzhi Zhu, Hao Chen, Yang Liu, Weijia Wu, Huaqi Zhang, Chunhua Shen
Instance segmentation is data-hungry, and as model capacity increases, data scale becomes crucial for improving the accuracy.
Ranked #7 on Object Detection on LVIS v1.0 val
no code implementations • 18 Oct 2023 • Weian Mao, Muzhi Zhu, Zheng Sun, Shuaike Shen, Lin Yuanbo Wu, Hao Chen, Chunhua Shen
Most prior encoders rely on atom-wise features, such as angles and distances between atoms, which are not available in this context.
1 code implementation • ICCV 2023 • Muzhi Zhu, Hengtao Li, Hao Chen, Chengxiang Fan, Weian Mao, Chenchen Jing, Yifan Liu, Chunhua Shen
In this work, we propose a novel training mechanism termed SegPrompt that uses category information to improve the model's class-agnostic segmentation ability for both known and unknown categories.
1 code implementation • 22 May 2023 • Yang Liu, Muzhi Zhu, Hengtao Li, Hao Chen, Xinlong Wang, Chunhua Shen
In this work, we present Matcher, a novel perception paradigm that utilizes off-the-shelf vision foundation models to address various perception tasks.
Ranked #3 on Few-Shot Semantic Segmentation on COCO-20i (5-shot)