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SCNP — Same-Class Neighbor Penalization

Official repository of "Towards High-Quality Image Segmentation: Improving Topology Accuracy by Penalizing Neighbor Pixels (CVPR 26).

SCNP is an efficient method to improve topology accuracy by simply applying Min and MaxPooling to the logits in a particular way. We show its effectiveness on 13 datasets, including medical, non-medical datasets, datasets with tubular and non-tubular structures, single- and multi-class datasets, and on semantic and instance segmentation.

This repository contains our implementation of SCNP, the files required to run our experiments.

🚀 Project page: https://jmlipman.github.io/SCNP-SameClassNeighborPenalization/

Latest updates

📅 21-Feb-2026: SCNP has been accepted at CVPR 2026.

Code

SCNP and example: here

Code to run our experiments: here

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