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[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.
