Improved object segmentation using feature and mask guidance with IS-Net
Improved object segmentation using feature and mask guidance with IS-Net
Highly Accurate Dichotomous Image Segmentation
arXiv paper abstract https://arxiv.org/abs/2203.03041
arXiv PDF paper https://arxiv.org/pdf/2203.03041.pdf
Twitter video https://twitter.com/_akhaliq/status/1549841365814632452
Project page https://xuebinqin.github.io/dis/index.html
... present a systematic study on a new task called dichotomous image segmentation (DIS) , which aims to segment highly accurate objects from natural images.
... collected the first large-scale DIS dataset, called DIS5K, ... covering camouflaged, salient, or meticulous objects in various backgrounds.
... introduce a simple intermediate supervision baseline (IS-Net) using both feature-level and mask-level guidance for DIS model training.
IS-Net outperforms various cutting-edge baselines on the proposed DIS5K, making it a general self-learned supervision network that can facilitate future research in DIS.
... design a new metric called human correction efforts (HCE) which approximates the number of mouse clicking operations required to correct the false positives and false negatives.
... conduct the largest-scale benchmark, evaluating 16 representative segmentation models ...
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