Search Results for author: Jun Wei

Found 10 papers, 7 papers with code

F3Net: Fusion, Feedback and Focus for Salient Object Detection

4 code implementations26 Nov 2019 Jun Wei, Shuhui Wang, Qingming Huang

Furthermore, different from binary cross entropy, the proposed PPA loss doesn't treat pixels equally, which can synthesize the local structure information of a pixel to guide the network to focus more on local details.

Dichotomous Image Segmentation Object +2

MedSRGAN: medical images super-resolution using generative adversarial networks

1 code implementation Springer 2020 Yuchong Gu, Zitao Zen, Haibin Chen, Jun Wei, Yaqin Zhang, Binghui Chen, Yingqin Li, Yujuan Qin, Qing Xie, Zhuoren Jiang, Yao Lu

Super-resolution (SR) in medical imaging is an emerging application in medical imaging due to the needs of high quality images acquired with limited radiation dose, such as low dose Computer Tomography (CT), low field magnetic resonance imaging (MRI).

Super-Resolution

Label Decoupling Framework for Salient Object Detection

1 code implementation CVPR 2020 Jun Wei, Shuhui Wang, Zhe Wu, Chi Su, Qingming Huang, Qi Tian

Though remarkable progress has been achieved, we observe that the closer the pixel is to the edge, the more difficult it is to be predicted, because edge pixels have a very imbalance distribution.

Object object-detection +3

Shallow Feature Matters for Weakly Supervised Object Localization

1 code implementation CVPR 2021 Jun Wei, Qin Wang, Zhen Li, Sheng Wang, S. Kevin Zhou, Shuguang Cui

In practice, our SPOL model first generates the CAMs through a novel element-wise multiplication of shallow and deep feature maps, which filters the background noise and generates sharper boundaries robustly.

Object Pseudo Label +1

What is the cost of adding a constraint in linear least squares?

no code implementations24 Jan 2022 Ramakrishna Kakarala, Jun Wei

Although the theory of constrained least squares (CLS) estimation is well known, it is usually applied with the view that the constraints to be imposed are unavoidable.

BoxPolyp:Boost Generalized Polyp Segmentation Using Extra Coarse Bounding Box Annotations

1 code implementation7 Dec 2022 Jun Wei, Yiwen Hu, Guanbin Li, Shuguang Cui, S Kevin Zhou, Zhen Li

In practice, box annotations are applied to alleviate the over-fitting issue of previous polyp segmentation models, which generate fine-grained polyp area through the iterative boosted segmentation model.

Segmentation

WeakPolyp: You Only Look Bounding Box for Polyp Segmentation

1 code implementation20 Jul 2023 Jun Wei, Yiwen Hu, Shuguang Cui, S. Kevin Zhou, Zhen Li

In contrast, polyp bounding box annotations are much cheaper and more accessible.

ScribblePolyp: Scribble-Supervised Polyp Segmentation through Dual Consistency Alignment

no code implementations9 Nov 2023 Zixun Zhang, Yuncheng Jiang, Jun Wei, Hannah Cui, Zhen Li

The second branch leverages affinity propagation to refine predictions into a soft version, extending additional supervision to unlabeled pixels.

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