1 code implementation • 18 Jan 2024 • Shilin Xu, Haobo Yuan, Qingyu Shi, Lu Qi, Jingbo Wang, Yibo Yang, Yining Li, Kai Chen, Yunhai Tong, Bernard Ghanem, Xiangtai Li, Ming-Hsuan Yang
Segment Anything Model (SAM) is one remarkable model that can achieve generalized segmentation.
1 code implementation • 4 Jan 2024 • Xiangyu Zhao, Yicheng Chen, Shilin Xu, Xiangtai Li, Xinjiang Wang, Yining Li, Haian Huang
Grounding-DINO is a state-of-the-art open-set detection model that tackles multiple vision tasks including Open-Vocabulary Detection (OVD), Phrase Grounding (PG), and Referring Expression Comprehension (REC).
1 code implementation • 2 Oct 2023 • Shilin Xu, Xiangtai Li, Size Wu, Wenwei Zhang, Yunhai Tong, Chen Change Loy
We refer to this approach as the self-training strategy, which enhances recall and accuracy for novel classes without requiring extra annotations, datasets, and re-training.
1 code implementation • 28 Jun 2023 • Jianzong Wu, Xiangtai Li, Shilin Xu, Haobo Yuan, Henghui Ding, Yibo Yang, Xia Li, Jiangning Zhang, Yunhai Tong, Xudong Jiang, Bernard Ghanem, DaCheng Tao
To our knowledge, this is the first comprehensive literature review of open vocabulary learning.
1 code implementation • 3 Jan 2023 • Xiangtai Li, Shilin Xu, Yibo Yang, Haobo Yuan, Guangliang Cheng, Yunhai Tong, Zhouchen Lin, Ming-Hsuan Yang, DaCheng Tao
Third, inspired by Mask2Former, based on our meta-architecture, we propose Panoptic-PartFormer++ and design a new part-whole cross-attention scheme to boost part segmentation qualities further.
1 code implementation • 10 Apr 2022 • Xiangtai Li, Shilin Xu, Yibo Yang, Guangliang Cheng, Yunhai Tong, DaCheng Tao
To the best of our knowledge, we are the first to solve the PPS problem via \textit{a unified and end-to-end transformer model.
1 code implementation • 10 Apr 2022 • Shilin Xu, Xiangtai Li, Jingbo Wang, Guangliang Cheng, Yunhai Tong, DaCheng Tao
This focus on joint human fashion segmentation and attribute recognition.
no code implementations • 14 Aug 2020 • Shilin Xu, Caili Guo, Rose Qingyang Hu, Yi Qian
To support the ever increasing computational needs in such a vehicular network, the distributed virtual cloud network (VCN) is formed, based on which a computational resource sharing scheme through offloading among nearby vehicles is proposed.