1 code implementation • 23 Jan 2024 • Fei Xie, Wankou Yang, Chunyu Wang, Lei Chu, Yue Cao, Chao Ma, Wenjun Zeng
Thus, we reformulate the two-branch Siamese tracking as a conceptually simple, fully transformer-based Single-Branch Tracking pipeline, dubbed SBT.
no code implementations • 20 Jan 2024 • Jiahao Nie, Zhiwei He, Xudong Lv, Xueyi Zhou, Dong-Kyu Chae, Fei Xie
Based on this observation, we design a novel point set representation learning network inheriting transformer architecture, termed AdaFormer, which adaptively encodes the dynamically varying shape and size information from cross-category data in a unified manner.
no code implementations • CVPR 2023 • Fei Xie, Lei Chu, Jiahao Li, Yan Lu, Chao Ma
Existing Siamese tracking methods, which are built on pair-wise matching between two single frames, heavily rely on additional sophisticated mechanism to exploit temporal information among successive video frames, hindering them from high efficiency and industrial deployments.
no code implementations • 20 Oct 2022 • Yi Liu, Xuan Zhang, Ying Li, Guixin Liang, Yabing Jiang, Lixia Qiu, Haiping Tang, Fei Xie, Wei Yao, Yi Dai, Yu Qiao, Yali Wang
For this reason, we propose to advance research areas of video understanding, with a shift from traditional action recognition to industrial anomaly analysis.
no code implementations • 17 May 2022 • Zhixing Huang, Junli Zha, Fei Xie, Yuwei Zheng, Yuandong Zhong, Jinpeng Tang
In order to overcome the shortcomings , we propose Collaborative Attention Memory Network with an enhanced segmentation head.
1 code implementation • CVPR 2022 • Fei Xie, Chunyu Wang, Guangting Wang, Yue Cao, Wankou Yang, Wenjun Zeng
In contrast to the Siamese-like feature extraction, our network deeply embeds cross-image feature correlation in multiple layers of the feature network.
1 code implementation • 5 Dec 2021 • Fei Xie, Chunyu Wang, Guangting Wang, Wankou Yang, Wenjun Zeng
We present a Siamese-like Dual-branch network based on solely Transformers for tracking.
no code implementations • 1 Oct 2020 • Belinda Fang, Elaine Yang, Fei Xie
The goal of this survey is to study how symbolic techniques are utilized in deep learning.
1 code implementation • 21 Sep 2020 • Fei Xie, Wankou Yang, Bo Liu, Kaihua Zhang, Wanli Xue, WangMeng Zuo
Existing visual object tracking usually learns a bounding-box based template to match the targets across frames, which cannot accurately learn a pixel-wise representation, thereby being limited in handling severe appearance variations.
1 code implementation • 12 Sep 2017 • Guosheng Hu, Yuxin Hu, Kai Yang, Zehao Yu, Flood Sung, Zhihong Zhang, Fei Xie, Jianguo Liu, Neil Robertson, Timothy Hospedales, Qiangwei Miemie
We propose a novel investment decision strategy (IDS) based on deep learning.
Computational Finance