Code for weakly supervised segmentation of a single class
SingleClassRL Implementation of weak single object segmentation from paper “Regularized Loss for Weakly Supervised Single Class Semantic Segmentation”, ECCV2020. PDF Main Files train_with_anneal.py: use for training first in annealing stage, then in normal stage train_with_transfer.py: use from training with weight transfer from another dataset, models that can be used for weight transfer are in directory ‘trained_models’ OxfodPet dataset Download OxfordPet from (https://www.robots.ox.ac.uk/~vgg/data/pets/) Files in ‘SingleClassRLdataOxford_iit_petannotations’ should be placed in the ‘annotation’ directory of OxfordPet dataset GitHub https://github.com/morduspordus/SingleClassRL
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