
The author proposes HAISTA-NET, a human-assisted instance segmentation model that outperforms existing methods by incorporating human-specified partial boundaries. This approach aims to improve segmentation accuracy for small-scale and high-curvature objects.


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haista-net-human-assisted-instance-segmentation-through-attention


HAISTA-NET: Human Assisted Instance Segmentation Through Attention


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HAISTA-NET improves instance segmentation accuracy by incorporating human-specified partial boundaries, outperforming existing models.
