1 code implementation • 25 Jun 2023 • Lin Wang, Xiufen Ye, Liqiang Zhu, Weijie Wu, JianGuo Zhang, Huiming Xing, Chao Hu
Notably, there is a lack of research on the application of SAM to sonar imaging.
2 code implementations • 9 Jun 2023 • Zhouhong Gu, Xiaoxuan Zhu, Haoning Ye, Lin Zhang, Jianchen Wang, Yixin Zhu, Sihang Jiang, Zhuozhi Xiong, Zihan Li, Weijie Wu, Qianyu He, Rui Xu, Wenhao Huang, Jingping Liu, Zili Wang, Shusen Wang, Weiguo Zheng, Hongwei Feng, Yanghua Xiao
New Natural Langauge Process~(NLP) benchmarks are urgently needed to align with the rapid development of large language models (LLMs).
no code implementations • 5 Jun 2023 • Guangyang Wu, Weijie Wu, Xiaohong Liu, Kele Xu, Tianjiao Wan, Wenyi Wang
We enhance the baseline algorithm by incorporating a Large Language Model (LLM), GPT3. 5, as a feature extractor.
no code implementations • 25 Dec 2022 • Chao Hu, Jian Yao, Weijie Wu, Weibin Qiu, Liqiang Zhu
Currently, most deep learning methods cannot solve the problem of scarcity of industrial product defect samples and significant differences in characteristics.
no code implementations • 3 Dec 2022 • Chao Hu, Liqiang Zhu, Weibing Qiu, Weijie Wu
Firstly, to enhance the model's processing ability for different scale targets, a multi-scale perception module based on dilated convolution is designed, and the depth features containing multi-scale information are re-refined from both spatial and channel directions considering the inconsistency between feature maps of different scales.
no code implementations • 23 Nov 2022 • Chao Hu, Liqiang Zhu, Weibin Qiu, Weijie Wu
Recently, the vision transformer (ViT) has made breakthroughs in image recognition.
no code implementations • 18 Oct 2022 • Chao Hu, Weibin Qiu, Weijie Wu, Liqiang Zhu
Motion features are used multiple targets in the video frame to construct spatial context simultaneously, re-encoding the target appearance and motion features, and finally reconstructing the above features through the spatio-temporal dual-stream network, and using the reconstruction error to represent the abnormal score.
1 code implementation • 25 Aug 2021 • Chao Hu, Fan Wu, Weijie Wu, Weibin Qiu, Shengxin Lai
With models trained on the normal data, the reconstruction errors of anomalous scenes are usually much larger than those of normal ones.
no code implementations • 5 Oct 2015 • Huikang Liu, Weijie Wu, Anthony Man-Cho So
To determine the convergence rate of these methods, we give an explicit estimate of the exponent in a Lojasiewicz inequality for the (non-convex) set of critical points of the aforementioned class of problems.