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GewelsJI/README.md

Hey Welcome to Daniel's Homepage

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  Updated News

  • [24/August/2022] ‼️ We present a new task, video polyp segmentation (VPS), which has been accepted by Machine Intelligence Research (MIR). We release the first large-scale VPS dataset, termed SUN-SEG, containing 158,690 frames with densely-annotated labels. These labels can further support the development of medical colonoscopy diagnosis, localization, and their derivative tasks. For more details, please refer to our project page / technical report.

  • [06/August/2022] ❗ Our paper about camouflaged object detection (COD) has been accepted by Machine Intelligence Research (MIR) journal. This is a simple but efficient baseline, DGNet, with a novel object gradient supervision for the COD task. Additionally, we construct a comprehensive COD benchmark with 20 competed approaches. Read our technical report for more details. We also implement our model via Jittor & PyTorch toolboxes.

  Real-time Stats

Daniel's github stats

Languages and Tools

git illustrator linux matlab opencv pandas photoshop python pytorch scikit_learn seaborn tensorflow xd

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  1. DengPingFan/CSU DengPingFan/CSU Public

    Concealed Scene Understanding, Visual Intelligence (VI), 2023

    Python 70 5

  2. VPS VPS Public

    Official website for "Video Polyp Segmentation: A Deep Learning Perspective (MIR 2022)"

    Python 180 28

  3. DGNet DGNet Public

    Deep Gradient Network for Camouflaged Object Detection (MIR 2023). Our codebase supports PyTorch & Jittor & Huawei-Ascend platforms..

    Python 103 19

  4. SINet-V2 SINet-V2 Public

    Concealed Object Detection (SINet-V2, IEEE TPAMI 2022). Code is implemented by PyTorch/Jittor frameworks.

    Python 235 54