CAMO++ is a dataset for camouflaged object segmentation. This dataset increases the number of images with hierarchical pixel-wise ground-truths. The authors also provide a benchmark suite for the task of camouflaged instance segmentation.
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…Also, the ground truth of the original dataset is bounding boxes rather than dense segmentation masks, which makes it hard to evaluate the VCOD segmentation performance.
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We consider the problem of referring camouflaged object detection (Ref-COD), a new task that aims to segment specified camouflaged objects based on a small set of referring images with salient target objects
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…polyp segmentation, lung infection segmentation), agriculture (e.g., locust detection to prevent invasion), and art (e.g., recreational art). The high intrinsic similarities between the targets and non-targets make COD far more challenging than traditional object segmentation/detection.
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Camouflaged Object (CAMO) dataset specifically designed for the task of camouflaged object segmentation.
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