Unlocking the Potential of Ordinary Classifier: Class-specific Adversarial Erasing Framework for Weakly Supervised Semantic Segmentation

This repository contains the official implementation (in PyTorch) of the paper "Unlocking the Potential of Ordinary Classifier: Class-specific Adversarial Erasing Framework for Weakly Supervised Semantic Segmentation" paper (ICCV 2021) by Hyeokjun Kweon and Sung-Hoon Yoon.

Introduction

We have developed a framework that extract the potential of the ordinary classifier with class-specific adversarial erasing framework for weakly supervised semantic segmentation. With image-level supervision only, we achieved new state-of-the-arts both on PASCAL VOC 2012 and MS-COCO.

Citation

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Prerequisite

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Usage

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Results and Trained Models

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