no code implementations • 22 Dec 2023 • Qi Xu, Lijie Wang, Jing Wang, Song Chen, Lin Cheng, Yi Kang
In recent years, analog circuits have received extensive attention and are widely used in many emerging applications.
no code implementations • 15 Nov 2023 • Zhaocong liu, Fa Zhang, Lin Cheng, Huanxi Deng, Xiaoyan Yang, Zhenyu Zhang, ChiChun Zhou
Addressing this, an unsupervised classification method with three key ideas is introduced: 1) dual-step feature dimensionality reduction using a pre-trained model and manifold learning, 2) a voting mechanism from multiple clustering algorithms, and 3) post-hoc instead of prior manual annotation.
1 code implementation • 8 Aug 2023 • Weixuan Sun, Yanhao Zhang, Zhen Qin, Zheyuan Liu, Lin Cheng, Fanyi Wang, Yiran Zhong, Nick Barnes
Given a pair of augmented views, our approach regularizes the activation intensities between a pair of augmented views, while also ensuring that the affinity across regions within each view remains consistent.
Ranked #15 on Weakly-Supervised Semantic Segmentation on COCO 2014 val
Object Localization Weakly supervised Semantic Segmentation +1
no code implementations • 16 Mar 2023 • Ning Qi, Peng Li, Lin Cheng, Ziyi Zhang, Wenrui Huang, Weiwei Yang
Energy storage (ES) and virtual energy storage (VES) are key components to realizing power system decarbonization.
no code implementations • 11 Mar 2023 • Yu-Jia An, Sheng-Chen Bai, Lin Cheng, Xiao-Guang Li, Cheng-en Wang, Xiao-Dong Han, Gang Su, Shi-Ju Ran, Cong Wang
The accuracy of the samples with high certainty is almost 100$\%$.
no code implementations • 26 Mar 2022 • Ning Qi, Lin Cheng, Yuxiang Wan, Yingrui Zhuang, Zeyu Liu
Current risk assessment ignores the stochastic nature of energy storage availability itself and thus lead to potential risk during operation.
no code implementations • 13 Oct 2021 • Shahrukh Khan Kasi, Sayandev Mukherjee, Lin Cheng, Bernardo A. Huberman
Communications standards are designed via committees of humans holding repeated meetings over months or even years until consensus is achieved.
1 code implementation • 11 Oct 2021 • Lin Cheng, Pengfei Fang, Yanjie Liang, Liao Zhang, Chunhua Shen, Hanzi Wang
Inspired by those observations, we propose a novel visual saliency method, termed Target-Selective Gradient Backprop (TSGB), which leverages rectification operations to effectively emphasize target classes and further efficiently propagate the saliency to the image space, thereby generating target-selective and fine-grained saliency maps.
no code implementations • 11 Nov 2020 • Lin Cheng, Zijiang Yang
Program synthesis is the task to automatically generate programs based on user specification.
no code implementations • 8 Aug 2020 • Wei Wang, Lin Cheng, Yanjie Zhu, Dong Liang
In recent times, using small data to train networks has become a hot topic in the field of deep learning.
no code implementations • 20 Feb 2020 • Liao Zhang, Yan Yan, Lin Cheng, Hanzi Wang
Finally, we fuse these CAMs together to generate pseudoground-truths and train a fully-supervised object detector withthese ground-truths.
no code implementations • 17 Jun 2019 • Qiangqiang Wu, Zhihui Chen, Lin Cheng, Yan Yan, Bo Li, Hanzi Wang
Incorporating such an ability to hallucinate diverse new samples of the tracked instance can help the trackers alleviate the over-fitting problem in the low-data tracking regime.
no code implementations • 24 Jan 2019 • Zaiqiang Wu, Wei Jiang, Hao Luo, Lin Cheng
To calculate the partial derivatives with respect to the coordinates of the vertices, we employed detection rays to divide vertices of statistical body shape models into different groups depending on whether the vertex is in the region of self-intersection.
no code implementations • 19 Jul 2018 • Lin Cheng, Xu Liu, Lingling Li, Licheng Jiao, Xu Tang
More recently, a two-stage detector Faster R-CNN is proposed and demonstrated to be a promising tool for object detection in optical remote sensing images, while the sparse and dense characteristic of objects in remote sensing images is complexity.