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I noticed you are using the 40-class version of nyu_v2 for the semantic segmentation. Do you have the class mappings anywhere? I want to run some explainability experiments, but it is hard to interpret results without knowing which index refers to which object/semantic meaning.
Thanks!
The text was updated successfully, but these errors were encountered:
Did you successfully run the code? Besides, I saw the paper that implemented other five baselines, e.g., LTH, SNIP, Random, IMP, RigL. However, these baselines are not avaliable in the code.
Hello,
I noticed you are using the 40-class version of nyu_v2 for the semantic segmentation. Do you have the class mappings anywhere? I want to run some explainability experiments, but it is hard to interpret results without knowing which index refers to which object/semantic meaning.
Thanks!
The text was updated successfully, but these errors were encountered: