1 code implementation • 17 Mar 2024 • Yuanchen Wu, Xichen Ye, Kequan Yang, Jide Li, Xiaoqiang Li
To this end, we propose a dual student framework with trustworthy progressive learning (DuPL).
Weakly supervised Semantic Segmentation Weakly-Supervised Semantic Segmentation
no code implementations • 10 Mar 2024 • Pinxue Guo, Lingyi Hong, Xinyu Zhou, Shuyong Gao, Wanyun Li, Jinglun Li, Zhaoyu Chen, Xiaoqiang Li, Wei zhang, Wenqiang Zhang
To address these limitations, we propose the setting named Click Video Object Segmentation (ClickVOS) which segments objects of interest across the whole video according to a single click per object in the first frame.
no code implementations • 26 Dec 2023 • Songmin Dai, Yifan Wu, Xiaoqiang Li, xiangyang xue
Recent unsupervised anomaly detection methods often rely on feature extractors pretrained with auxiliary datasets or on well-crafted anomaly-simulated samples.
no code implementations • 14 Nov 2023 • Ying Li, Zhencai Zhu, Xiaoqiang Li, Chunyu Yang, Hao Lu
In this paper, we present how to apply RL to the autonomous control of mining electric locomotives.
1 code implementation • Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence 2023 • Yuanchen Wu, Xiaoqiang Li, Songmin Dai, Jide Li, Tong Liu, Shaorong Xie
Weakly supervised semantic segmentation (WSSS) with image-level annotations has achieved great processes through class activation map (CAM).
Weakly supervised Semantic Segmentation Weakly-Supervised Semantic Segmentation
1 code implementation • CVPR 2022 • Congcong Zhu, Xintong Wan, Shaorong Xie, Xiaoqiang Li, Yinzheng Gu
The occlusion problem heavily degrades the localization performance of face alignment.
Ranked #3 on Face Alignment on COFW-68
1 code implementation • 19 Dec 2021 • Congcong Zhu, Xiaoqiang Li, Jide Li, Songmin Dai, Weiqin Tong
Moreover, the SRN augments the training data by synthesizing occluded faces.
no code implementations • 25 Apr 2021 • Songmin Dai, Jide Li, Lu Wang, Congcong Zhu, Yifan Wu, Xiaoqiang Li
This paper first introduces a novel method to generate anomalous data by breaking up global structures while preserving local structures of normal data at multiple levels.
1 code implementation • ICCV 2021 • Congcong Zhu, Xiaoqiang Li, Jide Li, Songmin Dai
We argue that exploring the weaknesses of the detector so as to remedy them is a promising method of robust facial landmark detection.
Ranked #5 on Face Alignment on COFW-68
no code implementations • 12 Nov 2018 • Songmin Dai, Xiaoqiang Li, Lu Wang, Pin Wu, Weiqin Tong, Yimin Chen
We get appealing results in both tasks, which shows the independence prior is useful for instance segmentation and it is possible to unsupervisedly learn instance masks with only one image.